{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "# CausalML is not supported for Pyhon 2.7\n",
    "if sys.version_info < (3, 0):\n",
    "    exit(0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Uplift random forest modeling - H2O-3 vs. CausalML"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from causalml.inference.tree import UpliftRandomForestClassifier\n",
    "from causalml.inference.tree import uplift_tree_plot\n",
    "from causalml.metrics import plot_gain, plot_qini, plot_lift\n",
    "from causalml.metrics import auuc_score\n",
    "\n",
    "import h2o\n",
    "from h2o.estimators.uplift_random_forest import H2OUpliftRandomForestEstimator\n",
    "\n",
    "import pandas as pd\n",
    "from IPython.display import Image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((4989, 17), (5011, 17))"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "control_name = \"control\"\n",
    "treatment_column = \"treatment\"\n",
    "response_column = \"outcome\"\n",
    "feature_cols = [\"feature_\"+str(x) for x in range(1,13)]\n",
    "\n",
    "train_df = pd.read_csv(\"../../smalldata/uplift/upliftml_train.csv\")\n",
    "test_df = pd.read_csv(\"../../smalldata/uplift/upliftml_test.csv\")\n",
    "\n",
    "train_df[treatment_column].replace({1: \"treatment\", 0: \"control\"}, inplace=True)\n",
    "test_df[treatment_column].replace({1: \"treatment\", 0: \"control\"}, inplace=True)\n",
    "train_df.shape, test_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "ntree = 40\n",
    "max_depth = 10\n",
    "metric_cml=\"EU\"\n",
    "metric_h2o=\"Euclidean\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# CausalML"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Train CausalML uplift tree\n",
    "causalml_uplift_model = UpliftRandomForestClassifier(\n",
    "        n_estimators=ntree,\n",
    "        max_depth=max_depth,\n",
    "        evaluationFunction=metric_cml,\n",
    "        control_name=control_name,\n",
    "        min_samples_leaf=10,\n",
    "        min_samples_treatment=0,\n",
    "        normalization=False,\n",
    "        random_state=42)\n",
    "\n",
    "causalml_uplift_model.fit(train_df[feature_cols].values,\n",
    "                 treatment=train_df[treatment_column].values,\n",
    "                 y=train_df[response_column].values)\n",
    "\n",
    "#test_df = train_df\n",
    "causalml_preds = causalml_uplift_model.predict(test_df.drop(\"treatment\", axis=1).values)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# H2O-3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Checking whether there is an H2O instance running at http://localhost:54321 . connected.\n",
      "Warning: Version mismatch. H2O is version 3.37.0.99999, but the h2o-python package is version 0.0.local. This is a developer build, please contact your developer.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div style=\"overflow:auto\"><table style=\"width:50%\"><tr><td>H2O_cluster_uptime:</td>\n",
       "<td>6 mins 57 secs</td></tr>\n",
       "<tr><td>H2O_cluster_timezone:</td>\n",
       "<td>Europe/Berlin</td></tr>\n",
       "<tr><td>H2O_data_parsing_timezone:</td>\n",
       "<td>UTC</td></tr>\n",
       "<tr><td>H2O_cluster_version:</td>\n",
       "<td>3.37.0.99999</td></tr>\n",
       "<tr><td>H2O_cluster_version_age:</td>\n",
       "<td>6 days </td></tr>\n",
       "<tr><td>H2O_cluster_name:</td>\n",
       "<td>mori</td></tr>\n",
       "<tr><td>H2O_cluster_total_nodes:</td>\n",
       "<td>1</td></tr>\n",
       "<tr><td>H2O_cluster_free_memory:</td>\n",
       "<td>4.877 Gb</td></tr>\n",
       "<tr><td>H2O_cluster_total_cores:</td>\n",
       "<td>8</td></tr>\n",
       "<tr><td>H2O_cluster_allowed_cores:</td>\n",
       "<td>8</td></tr>\n",
       "<tr><td>H2O_cluster_status:</td>\n",
       "<td>locked, healthy</td></tr>\n",
       "<tr><td>H2O_connection_url:</td>\n",
       "<td>http://localhost:54321</td></tr>\n",
       "<tr><td>H2O_connection_proxy:</td>\n",
       "<td>{\"http\": null, \"https\": null}</td></tr>\n",
       "<tr><td>H2O_internal_security:</td>\n",
       "<td>False</td></tr>\n",
       "<tr><td>Python_version:</td>\n",
       "<td>3.7.3 candidate</td></tr></table></div>"
      ],
      "text/plain": [
       "--------------------------  -----------------------------\n",
       "H2O_cluster_uptime:         6 mins 57 secs\n",
       "H2O_cluster_timezone:       Europe/Berlin\n",
       "H2O_data_parsing_timezone:  UTC\n",
       "H2O_cluster_version:        3.37.0.99999\n",
       "H2O_cluster_version_age:    6 days\n",
       "H2O_cluster_name:           mori\n",
       "H2O_cluster_total_nodes:    1\n",
       "H2O_cluster_free_memory:    4.877 Gb\n",
       "H2O_cluster_total_cores:    8\n",
       "H2O_cluster_allowed_cores:  8\n",
       "H2O_cluster_status:         locked, healthy\n",
       "H2O_connection_url:         http://localhost:54321\n",
       "H2O_connection_proxy:       {\"http\": null, \"https\": null}\n",
       "H2O_internal_security:      False\n",
       "Python_version:             3.7.3 candidate\n",
       "--------------------------  -----------------------------"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "h2o.init(strict_version_check=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Parse progress: |████████████████████████████████████████████████████████████████| (done) 100%\n",
      "upliftdrf Model Build progress: |████████████████████████████████████████████████| (done) 100%\n",
      "Model Details\n",
      "=============\n",
      "H2OUpliftRandomForestEstimator :  Uplift Distributed Random Forest\n",
      "Model Key:  UpliftDRF_model_python_1649756637843_62\n",
      "\n",
      "\n",
      "Model Summary: \n"
     ]
    },
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>number_of_trees</th>\n",
       "      <th>number_of_internal_trees</th>\n",
       "      <th>model_size_in_bytes</th>\n",
       "      <th>min_depth</th>\n",
       "      <th>max_depth</th>\n",
       "      <th>mean_depth</th>\n",
       "      <th>min_leaves</th>\n",
       "      <th>max_leaves</th>\n",
       "      <th>mean_leaves</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td></td>\n",
       "      <td>40.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>24305.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>19.625</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     number_of_trees  number_of_internal_trees  model_size_in_bytes  \\\n",
       "0               40.0                      80.0              24305.0   \n",
       "\n",
       "   min_depth  max_depth  mean_depth  min_leaves  max_leaves  mean_leaves  \n",
       "0        9.0        9.0         9.0        11.0        29.0       19.625  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "ModelMetricsBinomialUplift: upliftdrf\n",
      "** Reported on train data. **\n",
      "\n",
      "AUUC: 438.91621787270583\n",
      "AUUC normalized: 1.0243607039739482\n",
      "\n",
      "AUUC table (number of bins: 100): All types of AUUC value\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "    }\n",
       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>uplift_type</th>\n",
       "      <th>qini</th>\n",
       "      <th>lift</th>\n",
       "      <th>gain</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AUUC value</td>\n",
       "      <td>220.031802</td>\n",
       "      <td>0.219001</td>\n",
       "      <td>438.916218</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AUUC normalized</td>\n",
       "      <td>1.021918</td>\n",
       "      <td>0.219001</td>\n",
       "      <td>1.024361</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AUUC random value</td>\n",
       "      <td>108.711176</td>\n",
       "      <td>0.043363</td>\n",
       "      <td>216.338275</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         uplift_type        qini      lift        gain\n",
       "0         AUUC value  220.031802  0.219001  438.916218\n",
       "1    AUUC normalized    1.021918  0.219001    1.024361\n",
       "2  AUUC random value  108.711176  0.043363  216.338275"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Qini value: 111.3206265315211\n",
      "\n",
      "AECU values table: All types of AECU value\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "    }\n",
       "\n",
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>uplift_type</th>\n",
       "      <th>qini</th>\n",
       "      <th>lift</th>\n",
       "      <th>gain</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AECU value</td>\n",
       "      <td>111.320627</td>\n",
       "      <td>0.175638</td>\n",
       "      <td>222.577943</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  uplift_type        qini      lift        gain\n",
       "0  AECU value  111.320627  0.175638  222.577943"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Scoring History: \n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>timestamp</th>\n",
       "      <th>duration</th>\n",
       "      <th>number_of_trees</th>\n",
       "      <th>training_auuc_nbins</th>\n",
       "      <th>training_auuc</th>\n",
       "      <th>training_auuc_normalized</th>\n",
       "      <th>training_qini_value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td></td>\n",
       "      <td>2022-04-12 11:50:56</td>\n",
       "      <td>0.044 sec</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td></td>\n",
       "      <td>2022-04-12 11:50:56</td>\n",
       "      <td>0.071 sec</td>\n",
       "      <td>1.0</td>\n",
       "      <td>15</td>\n",
       "      <td>366.755916</td>\n",
       "      <td>0.855950</td>\n",
       "      <td>43.835470</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td></td>\n",
       "      <td>2022-04-12 11:50:56</td>\n",
       "      <td>0.086 sec</td>\n",
       "      <td>2.0</td>\n",
       "      <td>40</td>\n",
       "      <td>395.012929</td>\n",
       "      <td>0.921897</td>\n",
       "      <td>80.325497</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td></td>\n",
       "      <td>2022-04-12 11:50:56</td>\n",
       "      <td>0.101 sec</td>\n",
       "      <td>3.0</td>\n",
       "      <td>59</td>\n",
       "      <td>408.367429</td>\n",
       "      <td>0.953065</td>\n",
       "      <td>93.433475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td></td>\n",
       "      <td>2022-04-12 11:50:56</td>\n",
       "      <td>0.127 sec</td>\n",
       "      <td>4.0</td>\n",
       "      <td>78</td>\n",
       "      <td>389.270971</td>\n",
       "      <td>0.908497</td>\n",
       "      <td>84.215633</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td></td>\n",
       "      <td>2022-04-12 11:50:56</td>\n",
       "      <td>0.146 sec</td>\n",
       "      <td>5.0</td>\n",
       "      <td>94</td>\n",
       "      <td>400.061840</td>\n",
       "      <td>0.933681</td>\n",
       "      <td>90.757261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td></td>\n",
       "      <td>2022-04-12 11:50:56</td>\n",
       "      <td>0.177 sec</td>\n",
       "      <td>6.0</td>\n",
       "      <td>99</td>\n",
       "      <td>418.919837</td>\n",
       "      <td>0.977692</td>\n",
       "      <td>101.321117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td></td>\n",
       "      <td>2022-04-12 11:50:56</td>\n",
       "      <td>0.216 sec</td>\n",
       "      <td>7.0</td>\n",
       "      <td>100</td>\n",
       "      <td>421.546681</td>\n",
       "      <td>0.983823</td>\n",
       "      <td>102.566550</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td></td>\n",
       "      <td>2022-04-12 11:50:56</td>\n",
       "      <td>0.267 sec</td>\n",
       "      <td>8.0</td>\n",
       "      <td>100</td>\n",
       "      <td>423.997945</td>\n",
       "      <td>0.989544</td>\n",
       "      <td>103.645982</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td></td>\n",
       "      <td>2022-04-12 11:50:56</td>\n",
       "      <td>0.306 sec</td>\n",
       "      <td>9.0</td>\n",
       "      <td>100</td>\n",
       "      <td>427.692317</td>\n",
       "      <td>0.998166</td>\n",
       "      <td>105.195268</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td></td>\n",
       "      <td>2022-04-12 11:50:56</td>\n",
       "      <td>0.337 sec</td>\n",
       "      <td>10.0</td>\n",
       "      <td>100</td>\n",
       "      <td>426.656112</td>\n",
       "      <td>0.995748</td>\n",
       "      <td>104.029365</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td></td>\n",
       "      <td>2022-04-12 11:50:56</td>\n",
       "      <td>0.362 sec</td>\n",
       "      <td>11.0</td>\n",
       "      <td>100</td>\n",
       "      <td>426.574255</td>\n",
       "      <td>0.995557</td>\n",
       "      <td>104.311611</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td></td>\n",
       "      <td>2022-04-12 11:50:56</td>\n",
       "      <td>0.382 sec</td>\n",
       "      <td>12.0</td>\n",
       "      <td>100</td>\n",
       "      <td>435.256716</td>\n",
       "      <td>1.015820</td>\n",
       "      <td>108.863536</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td></td>\n",
       "      <td>2022-04-12 11:50:56</td>\n",
       "      <td>0.417 sec</td>\n",
       "      <td>13.0</td>\n",
       "      <td>100</td>\n",
       "      <td>436.454717</td>\n",
       "      <td>1.018616</td>\n",
       "      <td>109.233144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td></td>\n",
       "      <td>2022-04-12 11:50:56</td>\n",
       "      <td>0.440 sec</td>\n",
       "      <td>14.0</td>\n",
       "      <td>100</td>\n",
       "      <td>437.222194</td>\n",
       "      <td>1.020407</td>\n",
       "      <td>109.137147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td></td>\n",
       "      <td>2022-04-12 11:50:56</td>\n",
       "      <td>0.459 sec</td>\n",
       "      <td>15.0</td>\n",
       "      <td>100</td>\n",
       "      <td>435.702131</td>\n",
       "      <td>1.016860</td>\n",
       "      <td>108.977371</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td></td>\n",
       "      <td>2022-04-12 11:50:56</td>\n",
       "      <td>0.479 sec</td>\n",
       "      <td>16.0</td>\n",
       "      <td>100</td>\n",
       "      <td>435.412446</td>\n",
       "      <td>1.016183</td>\n",
       "      <td>109.004228</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td></td>\n",
       "      <td>2022-04-12 11:50:56</td>\n",
       "      <td>0.501 sec</td>\n",
       "      <td>17.0</td>\n",
       "      <td>100</td>\n",
       "      <td>439.075091</td>\n",
       "      <td>1.024731</td>\n",
       "      <td>111.027491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td></td>\n",
       "      <td>2022-04-12 11:50:56</td>\n",
       "      <td>0.530 sec</td>\n",
       "      <td>18.0</td>\n",
       "      <td>100</td>\n",
       "      <td>439.383070</td>\n",
       "      <td>1.025450</td>\n",
       "      <td>111.291618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td></td>\n",
       "      <td>2022-04-12 11:50:56</td>\n",
       "      <td>0.554 sec</td>\n",
       "      <td>19.0</td>\n",
       "      <td>100</td>\n",
       "      <td>440.996662</td>\n",
       "      <td>1.029216</td>\n",
       "      <td>111.675966</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                timestamp    duration  number_of_trees  training_auuc_nbins  \\\n",
       "0     2022-04-12 11:50:56   0.044 sec              0.0                    0   \n",
       "1     2022-04-12 11:50:56   0.071 sec              1.0                   15   \n",
       "2     2022-04-12 11:50:56   0.086 sec              2.0                   40   \n",
       "3     2022-04-12 11:50:56   0.101 sec              3.0                   59   \n",
       "4     2022-04-12 11:50:56   0.127 sec              4.0                   78   \n",
       "5     2022-04-12 11:50:56   0.146 sec              5.0                   94   \n",
       "6     2022-04-12 11:50:56   0.177 sec              6.0                   99   \n",
       "7     2022-04-12 11:50:56   0.216 sec              7.0                  100   \n",
       "8     2022-04-12 11:50:56   0.267 sec              8.0                  100   \n",
       "9     2022-04-12 11:50:56   0.306 sec              9.0                  100   \n",
       "10    2022-04-12 11:50:56   0.337 sec             10.0                  100   \n",
       "11    2022-04-12 11:50:56   0.362 sec             11.0                  100   \n",
       "12    2022-04-12 11:50:56   0.382 sec             12.0                  100   \n",
       "13    2022-04-12 11:50:56   0.417 sec             13.0                  100   \n",
       "14    2022-04-12 11:50:56   0.440 sec             14.0                  100   \n",
       "15    2022-04-12 11:50:56   0.459 sec             15.0                  100   \n",
       "16    2022-04-12 11:50:56   0.479 sec             16.0                  100   \n",
       "17    2022-04-12 11:50:56   0.501 sec             17.0                  100   \n",
       "18    2022-04-12 11:50:56   0.530 sec             18.0                  100   \n",
       "19    2022-04-12 11:50:56   0.554 sec             19.0                  100   \n",
       "\n",
       "    training_auuc  training_auuc_normalized  training_qini_value  \n",
       "0             NaN                       NaN                  NaN  \n",
       "1      366.755916                  0.855950            43.835470  \n",
       "2      395.012929                  0.921897            80.325497  \n",
       "3      408.367429                  0.953065            93.433475  \n",
       "4      389.270971                  0.908497            84.215633  \n",
       "5      400.061840                  0.933681            90.757261  \n",
       "6      418.919837                  0.977692           101.321117  \n",
       "7      421.546681                  0.983823           102.566550  \n",
       "8      423.997945                  0.989544           103.645982  \n",
       "9      427.692317                  0.998166           105.195268  \n",
       "10     426.656112                  0.995748           104.029365  \n",
       "11     426.574255                  0.995557           104.311611  \n",
       "12     435.256716                  1.015820           108.863536  \n",
       "13     436.454717                  1.018616           109.233144  \n",
       "14     437.222194                  1.020407           109.137147  \n",
       "15     435.702131                  1.016860           108.977371  \n",
       "16     435.412446                  1.016183           109.004228  \n",
       "17     439.075091                  1.024731           111.027491  \n",
       "18     439.383070                  1.025450           111.291618  \n",
       "19     440.996662                  1.029216           111.675966  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "See the whole table with table.as_data_frame()\n"
     ]
    },
    {
     "data": {
      "text/plain": []
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_h2o = h2o.H2OFrame(train_df)\n",
    "train_h2o[treatment_column] = train_h2o[treatment_column].asfactor()\n",
    "train_h2o[response_column] = train_h2o[response_column].asfactor()\n",
    "h2o_uplift_model = H2OUpliftRandomForestEstimator(\n",
    "            ntrees=ntree,\n",
    "            max_depth=max_depth-1,\n",
    "            treatment_column=treatment_column,\n",
    "            uplift_metric=metric_h2o,\n",
    "            min_rows=10,\n",
    "            auuc_nbins=100,\n",
    "            seed=42,\n",
    "            sample_rate=0.50,\n",
    "            auuc_type=\"gain\",\n",
    "            score_each_iteration=False)\n",
    "h2o_uplift_model.train(y=response_column, x=feature_cols, training_frame=train_h2o)\n",
    "h2o_uplift_model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sh = h2o_uplift_model.scoring_history()\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "plt.plot(sh['training_auuc'])\n",
    "plt.xlabel('Number of trees')\n",
    "plt.ylabel('AUUC')\n",
    "plt.title('Scoring history')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Parse progress: |████████████████████████████████████████████████████████████████| (done) 100%\n",
      "upliftdrf prediction progress: |█████████████████████████████████████████████████| (done) 100%\n",
      "H2O training metrics AUUC Gain: 450.7117786374067\n"
     ]
    }
   ],
   "source": [
    "test_h2o = h2o.H2OFrame(test_df)\n",
    "test_h2o[treatment_column] = test_h2o[treatment_column].asfactor()\n",
    "test_h2o[response_column] = test_h2o[response_column].asfactor()\n",
    "preds_h2o = h2o_uplift_model.predict(test_h2o)\n",
    "\n",
    "perf_h2o = h2o_uplift_model.model_performance(test_h2o)\n",
    "auuc_h2o = perf_h2o.auuc()\n",
    "print(\"H2O training metrics AUUC Gain: \"+str(auuc_h2o))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Parse progress: |████████████████████████████████████████████████████████████████| (done) 100%\n",
      "Parse progress: |████████████████████████████████████████████████████████████████| (done) 100%\n",
      "Parse progress: |████████████████████████████████████████████████████████████████| (done) 100%\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead>\n",
       "<tr><th>       </th><th>h2o                  </th><th>causal              </th><th>diff                </th><th>treatment  </th><th>outcome           </th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "<tr><td>type   </td><td>real                 </td><td>real                </td><td>real                </td><td>enum       </td><td>int               </td></tr>\n",
       "<tr><td>mins   </td><td>-0.6264740526676178  </td><td>-0.390655875        </td><td>0.004659703913163948</td><td>           </td><td>0.0               </td></tr>\n",
       "<tr><td>mean   </td><td>0.08199791085882721  </td><td>-0.29422592594120467</td><td>0.3900188090139431  </td><td>           </td><td>0.7579325483935342</td></tr>\n",
       "<tr><td>maxs   </td><td>0.4822891443967819   </td><td>-0.03872682500000013</td><td>0.7961030723154424  </td><td>           </td><td>1.0               </td></tr>\n",
       "<tr><td>sigma  </td><td>0.13776629982556876  </td><td>0.0500373229456983  </td><td>0.09240175231909001 </td><td>           </td><td>0.4283776621130897</td></tr>\n",
       "<tr><td>zeros  </td><td>0                    </td><td>0                   </td><td>0                   </td><td>           </td><td>1213              </td></tr>\n",
       "<tr><td>missing</td><td>0                    </td><td>708                 </td><td>708                 </td><td>0          </td><td>0                 </td></tr>\n",
       "<tr><td>0      </td><td>-0.09308872148394576 </td><td>-0.3457214499999999 </td><td>0.2526327285160541  </td><td>treatment  </td><td>0.0               </td></tr>\n",
       "<tr><td>1      </td><td>0.056703162193298295 </td><td>-0.34273535         </td><td>0.3994385121932983  </td><td>treatment  </td><td>1.0               </td></tr>\n",
       "<tr><td>2      </td><td>0.07776566892862324  </td><td>-0.34762824999999997</td><td>0.4253939189286232  </td><td>control    </td><td>0.0               </td></tr>\n",
       "<tr><td>3      </td><td>0.11391159445047383  </td><td>-0.2860978000000002 </td><td>0.400009394450474   </td><td>control    </td><td>1.0               </td></tr>\n",
       "<tr><td>4      </td><td>0.0736839056015014   </td><td>-0.30289307499999996</td><td>0.37657698060150135 </td><td>treatment  </td><td>0.0               </td></tr>\n",
       "<tr><td>5      </td><td>0.04312786720693107  </td><td>-0.18695925         </td><td>0.23008711720693106 </td><td>control    </td><td>1.0               </td></tr>\n",
       "<tr><td>6      </td><td>0.09887885749340064  </td><td>-0.309560175        </td><td>0.40843903249340063 </td><td>control    </td><td>1.0               </td></tr>\n",
       "<tr><td>7      </td><td>0.11090063825249663  </td><td>nan                 </td><td>nan                 </td><td>control    </td><td>1.0               </td></tr>\n",
       "<tr><td>8      </td><td>0.11205950677394871  </td><td>-0.32656569999999974</td><td>0.43862520677394845 </td><td>control    </td><td>0.0               </td></tr>\n",
       "<tr><td>9      </td><td>-0.043879247084260053</td><td>-0.281969575        </td><td>0.23809032791573992 </td><td>treatment  </td><td>1.0               </td></tr>\n",
       "</tbody>\n",
       "</table>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "min: nan max: nan mean: 0.390019\n"
     ]
    }
   ],
   "source": [
    "preds_comp = preds_h2o[\"uplift_predict\"]\n",
    "preds_comp.names = [\"h2o\"]\n",
    "preds_comp[\"causal\"] = h2o.H2OFrame(causalml_preds)\n",
    "preds_comp[\"diff\"] = abs(preds_comp[\"h2o\"] - preds_comp[\"causal\"])\n",
    "preds_comp[treatment_column] = h2o.H2OFrame(test_df[treatment_column].values)\n",
    "preds_comp[response_column] = h2o.H2OFrame(test_df[response_column].values)\n",
    "preds_comp.summary()\n",
    "    \n",
    "min_diff = preds_comp[\"diff\"].min()\n",
    "max_diff = preds_comp[\"diff\"].max()\n",
    "mean_diff = preds_comp[\"diff\"].mean(return_frame=False)[0]\n",
    "print(\"min: %f max: %f mean: %f\" % (min_diff, max_diff, mean_diff))\n",
    "\n",
    "results = preds_comp.as_data_frame()\n",
    "results = results[[\"h2o\", \"causal\", response_column, treatment_column]]\n",
    "mapping = {'control': 0, 'treatment': 1}\n",
    "results = results.replace({treatment_column: mapping})\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "H2O AUUC:\n",
      "449.1073405919903\n",
      "CauslML AUUC:\n",
      "258.7092568544478\n",
      "Random AUUC:\n",
      "234.98047847365325\n"
     ]
    }
   ],
   "source": [
    "auuc = auuc_score(results, outcome_col=response_column, treatment_col=treatment_column, normalize=False)\n",
    "print(\"H2O AUUC:\")\n",
    "print(auuc[\"h2o\"])\n",
    "print(\"CauslML AUUC:\")\n",
    "print(auuc[\"causal\"])\n",
    "print(\"Random AUUC:\")\n",
    "print(auuc[\"Random\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "H2O AUUC:\n",
      "0.9232925077480227\n",
      "CauslML AUUC:\n",
      "0.5318646500498337\n",
      "Random AUUC:\n",
      "0.4830820955983254\n"
     ]
    }
   ],
   "source": [
    "auuc = auuc_score(results, outcome_col=response_column, treatment_col=treatment_column, normalize=True)\n",
    "print(\"H2O AUUC:\")\n",
    "print(auuc[\"h2o\"])\n",
    "print(\"CauslML AUUC:\")\n",
    "print(auuc[\"causal\"])\n",
    "print(\"Random AUUC:\")\n",
    "print(auuc[\"Random\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Qini"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_qini(results, outcome_col=response_column, treatment_col=treatment_column)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_qini(results, outcome_col=response_column, treatment_col=treatment_column, normalize=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "98\n",
      "[51, 101, 151, 201, 251, 301, 351, 401, 451, 502, 552, 602, 652, 702, 752, 802, 852, 902, 952, 1003, 1053, 1103, 1153, 1203, 1253, 1303, 1353, 1403, 1453, 1504, 1554, 1604, 1654, 1704, 1754, 1804, 1854, 1904, 1954, 2006, 2055, 2105, 2155, 2205, 2255, 2305, 2355, 2405, 2455, 2506, 2556, 2606, 2656, 2706, 2756, 2806, 2856, 2906, 2956, 3007, 3057, 3107, 3157, 3207, 3257, 3307, 3357, 3409, 3457, 3508, 3558, 3608, 3658, 3708, 3758, 3808, 3858, 3908, 3958, 4009, 4060, 4109, 4159, 4209, 4259, 4309, 4359, 4409, 4459, 4510, 4560, 4610, 4660, 4710, 4760, 4810, 4860, 5011]\n",
      "[16.307692307692307, 26.789473684210527, 35.45977011494253, 48.77272727272727, 56.68840579710145, 70.86956521739131, 72.77720207253886, 84.94883720930233, 91.28688524590164, 104.62172284644194, 109.89795918367348, 115.4447949526814, 120.83529411764707, 120.48517520215634, 125.9090909090909, 130.49289099526067, 129.16071428571428, 133.04621848739495, 135.82258064516128, 144.30710172744722, 150.06557377049182, 152.3602811950791, 158.6434634974533, 165.3186274509804, 167.42857142857144, 170.54642313546424, 169.84187408491948, 176.21985815602835, 178.05212620027436, 181.61396574440056, 180.70812182741116, 185.99506172839506, 189.28229665071763, 188.89339513325615, 195.12429378531078, 195.45993413830956, 197.171974522293, 198.4107883817428, 199.02623612512616, 205.7362204724409, 210.20977011494256, 216.0298507462686, 223.58416742493182, 228.96000000000004, 236.17636837532575, 242.54344122657574, 245.35225375626044, 248.24468085106378, 251.16000000000008, 253.57411764705887, 257.3533487297922, 259.72452830188683, 258.67256637168146, 260.51198257080614, 263.0085714285715, 265.81320224719104, 267.90041493775936, 264.3532203389831, 262.8164893617021, 261.75651041666674, 264.48560460652595, 265.80543272267846, 268.1232876712329, 268.92944785276086, 270.6269649334945, 270.71888028588455, 277.3763945977687, 277.72090330052106, 282.36285714285714, 285.97631133671734, 291.1740576496675, 293.5759562841531, 302.7684835402051, 305.27854855923147, 307.79033105622693, 309.35966735966736, 314.9835728952771, 317.02027369488087, 317.66084788029934, 316.14018691588785, 311.0737148399612, 310.05454545454563, 312.4376181474481, 312.8387096774193, 312.9843101061374, 305.3433789954338, 307.3313769751692, 304.5532768613464, 304.49624724061823, 303.58424031345226, 300.6408268733851, 297.7319982956967, 291.8212478920743, 294.4339152119701, 288.52873563218395, 279.89426596177304, 266.553319919517, 238.01641266119577]\n"
     ]
    }
   ],
   "source": [
    "perf_h2o.plot_uplift(metric=\"qini\")\n",
    "\n",
    "n, uplift = perf_h2o.plot_uplift(metric=\"qini\", plot=False)\n",
    "print(len(n))\n",
    "print(n)\n",
    "print(uplift)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "perf_h2o.plot_uplift(metric=\"qini\", normalize=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Lift"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_lift(results, outcome_col=response_column, treatment_col=treatment_column)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[51, 101, 151, 201, 251, 301, 351, 401, 451, 502, 552, 602, 652, 702, 752, 802, 852, 902, 952, 1003, 1053, 1103, 1153, 1203, 1253, 1303, 1353, 1403, 1453, 1504, 1554, 1604, 1654, 1704, 1754, 1804, 1854, 1904, 1954, 2006, 2055, 2105, 2155, 2205, 2255, 2305, 2355, 2405, 2455, 2506, 2556, 2606, 2656, 2706, 2756, 2806, 2856, 2906, 2956, 3007, 3057, 3107, 3157, 3207, 3257, 3307, 3357, 3409, 3457, 3508, 3558, 3608, 3658, 3708, 3758, 3808, 3858, 3908, 3958, 4009, 4060, 4109, 4159, 4209, 4259, 4309, 4359, 4409, 4459, 4510, 4560, 4610, 4660, 4710, 4760, 4810, 4860, 5011]\n",
      "[0.6523076923076923, 0.6088516746411483, 0.554058908045977, 0.5359640359640359, 0.5016673079389509, 0.5062111801242236, 0.46061520299075226, 0.45671417854463614, 0.4409994456323751, 0.4451988206231572, 0.4259610821072615, 0.40506945597432065, 0.38729260935143284, 0.3640035504596868, 0.3536772216547498, 0.34340234472437015, 0.3197047383309759, 0.3123150668718191, 0.29785653650254673, 0.2993923272353677, 0.29774915430653137, 0.2853188786424702, 0.2812827366976123, 0.2797269500016588, 0.2717996289424861, 0.2640037509836908, 0.25349533445510364, 0.25246398016622973, 0.24592835110535138, 0.2437771352273832, 0.23591138619766472, 0.23425070746649257, 0.231396450673249, 0.22460570170422833, 0.22453888813039202, 0.21888010541803982, 0.2161973404849704, 0.21107530678908792, 0.20667314239369272, 0.2078143641135768, 0.20792262128085315, 0.20912860672436462, 0.2117274312736097, 0.21199999999999997, 0.21392786990518642, 0.21445043432942157, 0.21205899201059675, 0.2098433481412204, 0.20843153526970948, 0.20599034739809818, 0.2047361565073923, 0.202751388213807, 0.19897889720898565, 0.19602105535801806, 0.19395912347239785, 0.1923395095855217, 0.19000029428209886, 0.18473320778405522, 0.18100309184690222, 0.17794460259460676, 0.17703186385978975, 0.174413013597558, 0.17287123640956337, 0.1705323068184913, 0.1688253056353678, 0.166289238504843, 0.1677003594907912, 0.16511349780054763, 0.1654146790526404, 0.1648278451508458, 0.16600573412181718, 0.16511583593034473, 0.16773877204443488, 0.16645504283491352, 0.1659247067688555, 0.1642036450953649, 0.16491286539019756, 0.1638347667673803, 0.16265276389160221, 0.15998997313557073, 0.15569254996995052, 0.1535683731820433, 0.15293079693952416, 0.1511298114383668, 0.14961009087291466, 0.14409786644428213, 0.14334485866379165, 0.14060631434041848, 0.13878589208779313, 0.13718221433052513, 0.13433459645817025, 0.13156517821285763, 0.1275442517010814, 0.12779249792186198, 0.1241517795319208, 0.11905328199139653, 0.11223297680821764, 0.09707031511468012]\n"
     ]
    }
   ],
   "source": [
    "perf_h2o.plot_uplift(metric=\"lift\")\n",
    "\n",
    "n, uplift = perf_h2o.plot_uplift(metric=\"lift\", plot=False)\n",
    "print(n)\n",
    "print(uplift)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "perf_h2o.plot_uplift(metric=\"lift\", normalize=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Gain"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_gain(results, outcome_col=response_column, treatment_col=treatment_column)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_gain(results, outcome_col=response_column, treatment_col=treatment_column, normalize=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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iufrqGn4DT3y8cu65OVxwQTa9euVw9NFO8Pnmmxj+8Y9otm2Lzy+7e3cU779ftlyzDRuiue22avz3v4fKfBxVnQUoY0yVt2OH8MknMaxbF8W6dU4SxKFDvsGpW7ccBg/O4sILs6lVy3f75s2V5s2zadbsVx57rC2ffBLgxSeXiFKnjpKQAFu2HA5os2fHcc45ObRq5WHBghjWrYvmzDNz6N8/i9q1y3q0VYcFKGNMlbV3LzzzTAL//W8cGRmFW0t5rr02k0cfzSCqhMZQ7do5zJ17kCefjOfZZ+P97rNTpxxGj87i/POziYkBEYiJcR6HDkGPHomsWRPt9d7VfbZfuDCWhx5KoG/fbC6/PIuGDZWjj1Zq11ak6EOokixAGWOqnD/+EObOjeO55+LZt6/4T/V77sng9tszA/7wj46Gu+7K5NprM1m7Nprt24UdO6LIzoYzzsgpNvGhWjVISTlIjx6JxQbMgweF6dPjmD49Ln+ZiBId7bx/XBycdloON9+cyVlnVd2UdwtQxpgqYd8+eOGFeN59N5affoousXytWso//5nB8OFZZXq/2rWhS5fSB4c2bTw88kgGt95arVTbqQo5OZCTA5mZsGRJLEuWxHL22Tncd18Gp51W9QKVBShjTKX3119Cr141+O23ogPTMcd46Ncvm5Ytc2nRwkO7drkkJgaxkl5GjMjim2+ief11p4WUl5jRqlUus2fH+VynKslnn8Xw2WeJnH9+Nvfck8Gpp1ad1HULUMaYSu+OOxKKDE61aik335zJmDGZVK/ut0jQicALLxyif/8ssrKELl1y8tPN77knk0WLYnjnnVg2bYpixw6nCzEtrfg+SGf0i1j69Mnm3nszaNmy8geqoAUoEakNTAbaAQqMAH4BZgPHAhuBq1V1j4gIMAG4CDgIXKOq3wWrrsaYyuOdd2J48804n2VRUUrnzrlcdFE2gwZlU6dO+I3aIAJnn124Wy4mBi69NIdLL83xWe7xQG6u08W3cmU0jzySwOefF/4IX7Aglg8+iGHWrPRC+8/IgISE8j2OihTMwWInAO+r6knAqcAa4C7gY1VtCXzsvga4EGjpPkYDLwaxnsaYSmL3bil0LefUU3P59dcDvPdeOtdfnxWWwaksoqIgNtZJtOjcOZe3305nwYI0OnbMKVT20CFhwIAaLF8ejSrMmRNL+/aJNG1ai5tuSiAjIwQHUAZBCVAikgScBaQAqGqWqu4F+gDT3WLTgcvc532AGer4CqgtIg2DUVdjTOVx110JPiNBxMYq//nPQerVqxpBqSRnn53LBx+kM2dOOqee6ttaOnhQuPrqGlx2WQ1Gj67Oxo3RZGcL06bFc/XVNThwIESVLgVRrfhfpIi0B14GVuO0nr4FbgS2qGptt4wAe1S1togsBB5X1WXuuo+BO1X1m7x97tu3L7/iNg2zMZHD44Hly5OYNetovvoqyWfd6NFbGDVqa4hqFlqq8Morx/D8800CKt+mTToTJvxK7dqhzf5r2bJl/vOkpCSfC23BugYVA3QArlfV/4nIBA535wGgqioiZYqW3gdYktTU1FKVr+rsfPiy8+Er3M7H0qXR3HxzNdatK5wQ0bZtLg8/nEhcXMXVN9zOR0Hjx0Pt2hmMH1/yhabVq2swbtwpLFyYTv36ZWuoVPT5CNY1qM3AZlX9n/t6Hk7A2p7Xdef+3OGu3wI09dq+ibvMGBOhPvssmquuquE3OMXHO117cXF+Nowwt96ayR13FL7I5NxE7Hu96pdfornhhmoEoSOtTIISoFR1G7BJRFq5i3ridPe9DQxzlw0DFrjP3waGiqMLsE9VI7Pdbozh66+jGTiwBpmZ/ocWWrjQpq7wdvfdmTz88CFq1/Zw/PG5PPvsQRYuTOedd9Lp1s03SL33XixvvVW6sQWDJZj3QV0PzBSROOA3YDhOgJwjIsnA78DVbtlFOCnm63DSzIcHsZ7GmDCycmUUV11Vg/R03+DUt28W112XRYcOVW8EhSMlAuPGOecn2qvBWbMmzJ2bziWX1GDFisMf/3fckcDZZ+eEXcZj0AKUqv4AnOZnVU8/ZRX4v4qukzEmfB08CC+/HMfTTycUmhbj4YcPMW5c2YYoiiTRfu5dTkiA558/RLduiWRnO+d1584o7r03gRdeCK+pP4J5H5QxxpQoJwemTImjQ4eaPPhgtULB6a67Miw4HaGTTvJw662ZPsteey2OJUvCa3AhC1DGmLDx11/C5ZfX4JZbqrFtW+GPp3HjMrnzzkw/W5rSuuWWTFq3zi2wLIGcwvf9howFKGNMWPjuu2i6d09k6dLC3+Jr1VIeeeQQ48dnRNycSBUlLg6ee+4Q3nf3bNgQzaJF4dOKCp+aGGMixvbtwh13VOOHH5yLJCLKn39GkZXlG30SEpRrr83kxhuzOOqo8LqAXxV07JjLwIHZzJx5OD//pZfiC40DGCoWoIwxQbV3L1x+eQ1Wry5+zqauXXOYNOkgjRpZYKpIY8dm+gSoL7+MYeXKKE45JfRp+9bFZ4wJmowMGDiw5OB03XWZvPVWugWnIGjb1lPo3qiXXooPUW18WYAyxlQYVdixQ/jzT2HLFmHUqOp8+WXRHTfHHONh0qSDPPZYBrHhee9olXTttb6JJ/PmxbJzZ+gv9lkXnzGmXOTkwM6dwrZtUXz7bTRLl8awbFk0u3YV/T24c+ccXnjhUH7iQ/PmHr/37piKdcEFOTRv7uH3353fVVaWMHVqHHfcEdqMSQtQxpgyOXQIPv44hrffjmXp0hi2bRNUA//W3apVLrNmHbTkhzAQHQ2jR2fyj38cnlsrJSWOm27KDOn4hhagjKniVGHduqj8Fs3y5TGkpQlXXZXFTTdl0rx5yQHi11+jmD3bmYJ83z5h/35h5croQsMPBapRIw9vvJFuwSmMDB6cxWOPJeRPLb99exQzZ8YxfHjoboq2AGVMFZWV5Uz//eKLcXz3XeF/9alT43nllTj6989m8OAsTjzRU2gsts2b43j66WrMnh2Lx1O2YFSjhlKzpiLizAp74om5PPlkBk2aWHAKJ0lJMGBAFpMmHU6QeOihePr0yQ7ZGH0WoIypYtavj2Lu3FimT49j69bi86BycoRXX43j1Vedfpw6dTwcc4yi6rS8UlPbkZsbeC5V3boeGjRQmjb10LVrDmeemcspp+QSY580lcINN2Ty6qtxHDrkfBnZsyeKf/4zgQkTQjNGn/3ZGFOJqcKffwpr10azalUUCxbE8v33Zf+33r07it27Ay/fsKGHSy7Jpk+fbDp2zLX5mCq5pk2V22/P5KGHDk94OGNGLEOGZHHaacEfNd4ClDGVQF533YwZcaSmRpGT40x9npEhHDwYWNfb2Wfn0L17Dl275rBuXRRPPRXPb78FnjLXqlUuo0dnccwxHpKSlHr1lBNP9BBlN6tUKePGZfL667Gkpjp/G6rCrbdW45NP0oKeYWkBypgwtmeP8PLLcUyZEsf27aWPBNWrK4MGZTFmTBYtWhweGaBTp1yuvjqb+fNjWbgwltTUKNavj/I7IeBxx+Vy552Z9O2bbSngESAuDp588hCXXZaYv+zHH6OZNi2O5OTgJkxYgDImDHk88MorsTz4YAJ79pQuMIkoZ5yRS9++WVx2WTa1a/svFxMDfftm07dvNgC5ubB5s+RncYnA9u0b6N69uQ3QGmG6d8/l8suzmD//cJ/tQw8l0KdPNvXqBS9hwgKUMWFEFVasiObuuxP49tvA/j1r1lROOimXVq08nHxyLhdfnE3jxqX/EImOxk05P7xtbGyWBacI9fDDGXzwQWz+rQT79gkPPJDAf/4TvIQJC1DGhIEdO4Q5c2J57bW4IsepS0xUBgzIYtiwLI4+WomKgpgYJSkJCyKm3DVurNx5Zwb333/45t2ZM+MYOjSLzp2DkzBhAcqYENq7Fx55JIGpU+PIyfEfZapXV265JZNRozJJSgpu/Uxku+66LF57LY61aw9/abrttmosWZIWlFsHLP/GmBDIu8Z02mk1mTQpvsjg1KdPNv/73wFuu82Ckwm+2FgnYcLbqlXRpKQE536CoAUoEdkoIqtE5AcR+cZdVkdEPhSRVPfnUe5yEZHnRGSdiKwUkQ7BqqcxFSk7G+bMieXssxO5/vrq/PVX4X/BqCjl/POzeeutNKZPP0jTpjbiggmdbt2chBtvjzySwI4dFd+vHOwW1Dmq2l5VT3Nf3wV8rKotgY/d1wAXAi3dx2jgxSDX05hytXcvPPdcHO3b12T06OqsWlX4OlOzZh7Gjz/E6tUHmD37IN27B//GSGP8eeihDGrWPPxFaf9+4f77E4rZonyEuouvDzDdfT4duMxr+Qx1fAXUFpGGIaifMUdk7doobrklgTZtanH//dXYsqXwv1xCgnLPPRl8/fUBrr8+i2OOsRaTCS8NGyp33ZXhs2zWrDi+/z6xiC3Kh6gG559BRDYAe3ByWP+rqi+LyF5Vre2uF2CPqtYWkYXA46q6zF33MXCnqn6Tt799+/blVzw1NTUox2BMoHJyhH/9qxlvvVW/yDIiSo8ee7jhhs00ahS6EaONCURODgwZ0oZ166rnLzvhhIO8+uoaYmLKHkdatmyZ/zwpKcmn3zCYWXxnquoWETka+FBE1nqvVFUVkTIdpfcBliQ1NbVU5as6Ox++yuN85OTAqFHVeOst/xeSq1VTBg7M4rrrsmjRIhpofkTvV5Hs78NXpJ+P557zcNFFh1+vX1+dTz5pw//9X8V8wQpaF5+qbnF/7gDmA52A7Xldd+7PHW7xLUBTr82buMuMCWs5OTBmTDWfO/DzNGrk4b77MvjppwP8+98ZPkMPGVMZnHFGLv37ZwG7gKeA3Tz+eAJbt1ZMwkRQApSI1BCRmnnPgV7AT8DbwDC32DBggfv8bWCom83XBdinqluDUVdjyio3F667rhpvvOEbnJo18zBlykF+/PEAt96aSd26do3JVD6qyooVK8jIuAZoDNwOTKd9+1wyK2hm+IC6+ETkOOARoD3gc1VMVZsFsIsGwHznMhMxwGuq+r6IrADmiEgy8DtwtVt+EXARsA44CAwPpJ7GhNIDDyQwd27h4PTuu2mWKm4qPVVl1KhRbNy4MX9Z3brP8dZb1xAdXTFtnUCvQb0GrAduxQkYpaKqvwGn+lm+C+jpZ7kC/1fa9zEmVN58M5aJE+N9ljVt6uGddyw4maohKiqK4cOH88ADD+Qv27VrI0uXfk737t0r5j0DLNcWGKqq76nqZ96PCqmVMZXIzz9HMW5cNZ9ljRo5wckZfNWYyiErK4v58+ezZ88ev+sHDx5MfLzzRax58+aMGzeOk08+ucLqE2iA+hz4W4XVwphKau9eGDy4us+kgXFxyquvHuTYYy04mcph8+bNPPzww5x88skMHz6cmTNn+i1Xt25dHnjgAebMmcN3333HsGHDqFu3boXVK9Auvo3A+yIyH9jmvUJV7y/vShlTGRw8CNdcU50NG3xHhXjqqUN06GCjQJjw5vF4WLJkCSkpKbz//vt4PIezSqdOncrYsWOJ8jNd8tixY4NWx0ADVA1gIRCLb/q3MRFp/37o168Gy5f7/gsNG5bF0KHZIaqVMSXbvXs3M2fOZMqUKWzYsMFvmfXr1/PZZ59xzjnnBLl2vgIKUKpqWXTGuHbvFq68sjrff+/779OhQw5PPBG8ydyMCZSq8s0335CSksL8+fPJLCYvvGbNmvTr14/mzUN/A3mRAUpEjlXVje7z44sq52boGRMR9u6Fiy+uUWhSwXbtcpk9+yDx8f63MyYU0tPTmTdvHpMnT2bVqlXFlm3Tpg0jR46kb9++1KxZM0g1LF5xLahVQF4t1+GMoVfwdmEF/E//aUwVowo33FC9UHA67bQc5s1Lp3bt0NTLmKJMnDiRxx57rMj1cXFxXHbZZYwYMYLOnTsjYTY1c5EBSlVrej0P9ajnxoTctGlxvP12rM+ybt1yeO21dMLkC6cxPgYPHswTTzxBbq5v0k7z5s0ZPnw4gwcPpl69eiGqXclsyndjAvDzz1Hcfbfv/DennprLnDnpVKtWxEbGBMHmzZvZsWMHHToUnte1cePGXHjhhSxcuBAR4fzzzyc5OZmePXv6zdALN4EOdRQDjAXOBurh1dWnqmdVTNWMCQ/p6TBiRHUyMg53fyQmKlOnHrTgZEIiL0V88uTJLF68mNatW7Ns2TK/XXTXXXcdrVq1YtiwYTRrFsjIdOEj0BbUM0AP4GWcMfn+AVwHzKqgehkTFjweuOGGavzyi+91p6efPsTxx9to5Ca4ikoR//nnn/n666/p3LlzoW26du1K165dg1nNchNoG+8K4EJVnQDkuD8vA0KbJG9MBVKFe+5JKDQ6+cCBWVx9td3rZIIjbxTxa6+9ltatW3Pffff5vX8pJSUlBLWrWIG2oKoDm9znh0SkuqquFREb/shUWc88E89LL/nmjZ94Yq7d62SCIi9FPCUlhZUrVxZbtk2bNnTr1i1INQueQAPUGqAj8DXwDfCgiOzHJhE0VdSMGbE89JBvUkSDBh7mzEknMbGIjYwpB7/88gspKSnMmjWL/fv3F1ku3FPEy0OgAepGIC9P8RbgRZx7pEZXRKWMCaUXXojjnnt8sx9q1VLeeCPdBoA1FWrLli106dIFZ8Yh/ypLinh5CHSooxVez1OBcyusRsaEiCo8/3xjZszwDU7x8crrr6fTrp0lRZiK1bhxY7p3786SJUt8losIvXr1YuTIkZUmRbw8BJpm3qOIVZnAZlX9vfyqZEzw5eTAuHHVmDUryWd5TIwyZcpBuna10clN+fB4PKxYscJvxh1AcnJyfoCqX78+Q4YMYdiwYWExNl6wBdrFlwI0cp/vAvImANkBHCMiK4H+buvKmErF44GxY6sxZ45vtl5iovLKKwc555ycENXMVCUFU8SXLVtGu3btCpW74IIL6NOnD5deeimXXHIJcXFxfvYWGUoToJKA+1X1kIhUAx4E9gPPAv8GXgDOq4A6GlNhVOGOOxIKBad69TzMm5dO+/bWrWfKrrhRxKdMmcLTTz9daJuYmBimT58ezGqGrUA7Mm8E7lbVQwDuz3uBm1Q1HbgVOK1iqmhMxRk/Pp7Jk31TyZs18/DBBxacTNmlp6czffp0zjrrLM477zxmzZpVaIqL2bNnF5ulZwJvQaXjpJkv91r2d+Cg+zyg/2QRicZJU9+iqheLyHE4o1HUBb4FhqhqlojEAzPc99gF9Mub+sOY0srIgD/+iGL7dmHnzii2bBF++SWa1auj+O4733+BevWyePvtDMvWM2VSmhTx3r17k5aWRq1atYJYw8ol0AB1P/CBiLyNc8NuE+AS4Hp3fU9gXgD7uRHnnqq838i/gGdUdZaIvAQk46SwJwN7VLWFiPR3y/ULsK7GALBtm/DMM/HMmBHHoUMl3yNSp46HiRN/5dhjbdJoE7isrCzeffddUlJSWLZsWbFlmzdvzogRIxg0aFCVTxEvD4Gmmc8QkW+AK3GSJX4FTlfV1e76hThTwhdJRJoAvXHG8rtFnLvKegAD3SLTca5rvQj0cZ+DE/gmiohocTcHmIimCps2CX/9FcWOHcJnn8UwdWqczwCvxalZU3njjYMkJmZUcE1NVTNs2DDee++9ItdHaop4eZBgfeaLyDzgMZwbfG8DrgG+UtUW7vqmwHuq2k5EfgIuUNXN7rr1QGdV/Stvf/v27cuveGqqJQ9Gsh9/TOSxx5qxfn31Mm3fosVB7r77d045Jb2ca2YiwXvvvcf9999faHmdOnW49NJLufzyy2nUqJGfLQ1Ay5Yt858nJSX5fKMMynxQInIxsENVvxWR7uW9f+8DLElqamqpyld1lf18fPxxDNdfX73ELrx69Twcf7yH+vWVBg08nHCCh5NO8nDSSbk0aqSIOB8glf18lDc7H47du3fj8XjYs2dPofPRrFkzJkyYwK5duwA4/fTTGTlyZESkiFf030ewJizsClwqIhcBCTjXoCYAtUUkRlVzcK5r5Y3ttwVoCmx256JKwkmWMCbfggUxjBxZnezsooNTo0Yebr01k8GDs4iPL7KYMYUUTBEfNWoUw4YNK1QuPj6ea6+9lu3btzNixAjatGkTgtpWTUEJUKp6N3A3gNuCuk1VB4nIXOAqnEy+YcACd5O33dfL3fWf2PWnyPbnn8ITT8Tz6acx+QFp61bB4/ENTm3b5tKggYd69ZSuXXPo1y+bhAR/ezTGv7S0tPxRxFetWpW//NVXX6VfP/+5WrfffnuwqhdRShWg3OtEjVX1q3J6/zuBWSLyMPA9zg3BuD9fEZF1wG6gfzm9n6lkMjPhxRfjePLJBNLTi+/Ge+KJQ4wenRWkmpmqZu3ataSkpBR5f9LevXv56KOPOPnkk0NQu8gU6Fh8zYDXgfaAAokichVOIsPI0ryhqn4KfOo+/w3o5KdMBtC3NPs1Vc/XX0czdmw11q2LLrZcVJQyceIhBg60SQRN6ZQ2RTwmJlhXRQwE3oL6L/Au0I3D14I+xBniyJhypQr//W8c996bQE5O8a2mpCRl4sSDXHKJjZdnArdp0yamT5/OjBkz2LFjR5Hl8lLEk5OT6dmzJ7/99lsQa2kCDVCdgN6q6hERBVDVfSKSVMJ2xpTo4EH44YdoPB4QgSlT4gpNsw5w1FEe7r03k/PPP9xSatBAiY0NZm1NZffhhx/Sr18/PJ6iB8CpX78+Q4cOZdiwYTRr1iyItTPeAg1Q24EWODfoAiAibYA/KqJSJjKowqRJcfzznyVfXxo2LIsHHsigTh3LlTFH5vTTT6dGjRocOHCg0LozzjiD5OTkiEgRrwwCDVBPAQtF5DEgRkQGAPcAj1dYzUyVlpYGN95YzW9LyVvNmsoLL1gXnikdVWX79u0cc8wxhdYlJibSv39/Jk2aBEDNmjXp16+fpYiHoUCHOpoiIruAMThj8Q0F7lPVtyqwbqYKOnAAvvgihgcfTGDt2uKTH9q0yWXGjIO0aGGjipvAeKeI79y5k1WrVhHrpw94xIgRLF++nOTkZK666ipq1qwZgtqakgSaxRetqgs4fJ+SMQHzeGDmzFheey2OFSui/SY+1KyptGvnzFobHQ09euQwZkwmNWoEu7amMioqRXzRokX06dOnUPnWrVuXmLVnQi/QLr5t7k21M1X1i4qskKlaDk+lXnRXnrWUTFkEkiKekpLiN0CZyiHQANULGAC8LiK5OCM/vKaqq4rfzESyrCwYNao6CxYUnWZ39dVZPPPMIWspmYCVJkW8evXqZGVlWcJDJRXoNajvcUZ6uENEzsYJVp+IyFZVPaUiK2jCnyqsXBnFBx/E8uOP0VSrptSrp/z8czSff174T6xFi1y6d8/hkkuyOeusXCSwGTFMBPN4PCxZsoSUlBTef/99SxGPEGW5LXotzqSDfwA2zHGEys2FZcuiefPNOBYvjmHbtpLnuGnSxMPcuem0bm1deSZwubm5dOvWjdWrVxdbzlLEq55AkyRq40xWOBDoAnyAM8vt2xVWMxOW/vzTmaV2wYJYduwIfOK1E07IZcGCdJo0sfuYTOlER0fTvn17vwHKUsSrtkBbUH8CXwKvAVeq6t4Kq5EJW6tXR3HxxTXYvbt0M4K2aZPL/PnpNGhgwckULT09nWrVqvmdcTY5OZnXXnst/3Xbtm0ZOXKkpYhXcYEGqBNUdWuF1sSEtV9/jaJPn6KDU40aSvfuOfTsmUNCgrJzp7BzZxRHH+1h+PAs7DPEFMU7RXzKlCmce+65hcp06NCBzp0707x5c5KTk+nUqRNiFy+rvCIDlIicpaqfuy9bi0hrf+VU9ZMKqZkJGxs2OMFp507f4FSrlnLxxdlccUU23brl2ISAJmB5KeKTJ0/miy8O37kyefJkvwFKRFi0aBHR0cXf3G2qluJaUC8A7dznKUWUUeD4cq2RCSupqVFccUUNtm71DU6jRmUyfnyGTQZoSqWkFPEPPviAP/74w2/2nQWnyFNkgFLVdl7PjwtOdUw4+fDDGJKTq7N/v29XyrBhWTzxRIalh5uA5KWIT548mcWLFxebIl63bl3WrVtn6eEGCDyLb4GqFrodW0TeVNUryr9aJlQyMmDbNuHNN+MYPz4eVd8o1K+fc2OtBSdTkt27dzNz5kymTJnChg0bii1rKeLGn0CTJM4pYnn3cqqHCaHcXLj//gRmz47lr7+KztAbODCL5547hJ8kK2N8TJo0iXvvvZfMzMwiy1iKuClJsQFKRB5yn8Z5Pc9zPPB7hdTKBI0q3HFHAikpRWc4REUp48dnMHZslrWcTEBOPPHEIoOTpYibQJXUgmrq/ozyeg5OcsQm4MEKqJMJomnTjik2OCUlKVOnHqRHD5uPyRSWnZ3tdzqLs846i5YtW5KamgpAXFwcl112maWIm1IpNkCp6nAAEflSVSeV9U1EJAH4HIh333Oeqj4gIsfhDDxbF/gWGKKqWSISD8wA/g7sAvqp6sayvr/xb+bMWF54oYnPsuho5eijlWOO8fC3v+Vyww2ZHHus3WBrDvNOEW/UqFH+xH/eRIQRI0bw0ksvMXz4cAYPHky9evVCUFtTmQU6WOwkABGpCdQDxGvdbwHsIhPooappIhILLBOR94BbgGdUdZaIvAQkAy+6P/eoagsR6Y8zrFK/UhyXKcGSJTHccEM1n2VJScr776fZWHnGL38p4rGxsTz66KPUr1+/UPnk5GTGjBnjd2QIYwIR0F+OiLQWke+BfcA695HqPkqkjjT3Zaz7UKAHMM9dPh24zH3ex32Nu76nWJ9Audm+XRg1qhq5uYdPaXy88vrrNpCr8eXxePjoo48YMGAAp556Kk899ZTP/UvZ2dm8+uqrfreNi4uz4GSOSKBZfC8CS3Cy+TYAxwKP4YzPFxARicbpxmsB/AdYD+xV1byLG5uBxu7zxjjXuFDVHBHZh9MN+Je/fef1cweqtOWrEo8HbryxpU+2nojy0EPrqV9/LxF8avJF8t9Hnr179/LOO+/w5ptvsnnz5mLL/u9//4uocxZJxxqIIz0fLVsWPSlGoAHqVOA8Vc0WEVHVfSJyO/AT4P/rUwGqmgu0d0dGnw+cFOB7l6i4AywoNTW1VOWrmv/8J46vvvLt2rv77kzGjKkPFO6miTSR/PehqqxYsYKUlBTeeustSxH3I5L/Pvyp6PMRaIDKwOmWywb+EpFmwB6cVk2pqOpeEVkCnA7UFpEYtxXVBNjiFtuCkzW4WURigCScZAlTRh4PfP11NP/8p+/YRH/72wFuvdW69SLd5s2bGTBgAKtWFT9Jdl6KeN++fUlMTAxS7UykCjRALQWuBqbhXBN6DyfxIaCBYkWkPpDtBqdqwHk4iQ9LgKtwMvmGAQvcTd52Xy9313+iqpZKVkrp6TBhQjzvvx/LunVRHDzoexkvKUl56KENREc3D1ENTbho2LAhe/bs8bsuL0V85MiRdOzY0VLETdAEmsV3tdfLe4CfgUScVPBANASmu9ehooA5qrpQRFYDs0TkYZwp5fMGpU0BXhGRdcBuoH+A72Nc69dHMWRIdVavLnqAzQkTDnLMMVlBrJUJNVX1G2Cio6MZPnw448ePz1/WvHlzLr30Um688UZLETchUeop31XVA7xSym1WAn/zs/w3oJOf5RlA39LWLRIdOAD33ZfARx/FctxxHrp1y6FBAw/33Vet0CCv3gYPzuKyy3IsKSJCbN68mWnTpvHGG2/w6aefkpSUVKjMkCFDePLJJ+nevTvJycn07NmT9evXW3AyIVPcfFCv4KSCF0tVh5ZrjUzA1q2LYtCg6vzyi9NK2rw5iqVLi/7OUauW0qpVLueck8NttxV9AdxUDR6Ph08++YSUlBSfUcRnzZrFmDFjCpU/+uijWbNmDUcddVSwq2qMX8W1oNYFrRam1BYvjmHUqMJTYfhz5ZVZPPJIBg0aqI2lFwF27drFzJkzmTp1qt9RxKdMmcLo0aP9dvVZcDLhpLj5oP4ZzIqYwKjCxIlx3H9/QqGpMAqKjlYeesgGeY0EpUkR//PPP9mwYQPHH29zjZrwFuh8UD2KWmdTvgdPbi7cfXcCL79ceHDXq6/O4swzc1i6NIYVK6I56ignOHXrlhuCmppgSUtLY968eaSkpFiKuKlyAk2SKDjle30gDmf0B/saFgSHDsHo0dV55x3fkaMLtpKGDs0OUQ1NsD3++OO88MIL7N+/v8gyliJuKrNA08x9pnx308XvBQ5URKWMY+NG4d13Y1m6NIYvv4wpdL2pVi1lxox0une3VlIkys7OLjI4NW/enBEjRjBo0CDLwjOVVqnTzMEZtkhEHsFpQT1dvlUyubnwzDPxPPZYvM+Art4aNfIwZ0467drZKBCRatiwYTz99NPk3cMeFRVFr1698lPEbaBWU9mVKUC5zgPs07GcbdsmjB5dnc8/L/pX07p1LnPnptOkiQ2uUVV5p4hffPHFDBo0qFCZZs2a0atXL7777juGDh3KsGHDaNasWQhqa0zFCDRJYhO+90RVBxKAsRVRqUj18ccxjBlTzWekcW9163q4/PJs7r03g9q1g1s3Exz+UsS3bt3qN0ABTJgwgTp16hAXFxfMahoTFIG2oAYXeJ0O/KqqRV+dNQHLzoaHH05gwoTC2Xl163q45ZZMunfPoXVrD9ZrU/WoKt988w2TJ0/2myL+ww8/8N1339GhQ4dC2x5zzDHBqqYxQRdoksRnFV2RSPX778LIkdVZsaLwr6JbtxxefvkgDRtaV15VVJoU8UWLFvkNUMZUZYF28SUBN+CMp+dzA4Wq9qqAekWE77+P5oorqrNnj2+zKCpKueuuTG69NZPoosd6NZXU2rVrSUlJYfbs2aVKETcm0gTaxTcXiMaZaPBQxVUncnzzTTRXXFGjUOp4o0YeJk06SNeuljpe1fzwww/84x//4Isvvii2nKWIG+MINEB1Aeqpqs3NUA6+/jqaq64qHJzOPz+bF144RN261qVXFVWrVq3I4JSXIj5y5Eh69OhhKeLGEHiAWoYzRfvKCqxLRPjuu2iuvLIGBw74Bqebb87g/vszbcy8KqxVq1Z069aNpUuX5i+rX7++pYgbU4RAA9Q1wCIR+R+w3XuFqj5U3pWqqnJz4dprqxUKTrffnsE991hwqux2797Nq6++ypo1a3jxxRf9lklOTmbp0qWcccYZJCcnc8kll1iKuDFFCDRAPQI0BTYCtbyWW19UKbz1Viy//uqb9XDXXRncdZfNzVRZFZUifuONN3LSSScVKt+7d2++/PJL2rRpE+yqGlPpBBqg+gMnqurWiqxMVebxwFNP+d7ndPXVWRacKqmSUsRTUlJ48sknCy2PjY214GRMgAK9EvsbYMNkH4GFC2NYs+Zw6ykqSrnjDgtOlc3atWu5/fbbadOmDTfddFOR9y/Nnz+f7Gz7lzHmSATagnoFeFtEnqfwNSibD6oEqvDUUwk+y664IpsWLWwow8ogKyuLhQsXkpKSUqoU8djY2GLLGmOKF2iA+j/356MFlisBzAclIk2BGUADd5uXVXWCiNQBZgPH4lzfulpV94gzac0E4CLgIHCNqn4XYF3DzuLFMaxc6Xvt6dZbrfUU7nJycnj88ceZMWMGO3bsKLKciOSniNso4saUnzLNB1UGOcCtqvqdiNQEvhWRD3GyAz9W1cdF5C7gLuBO4EKgpfvoDLzo/qx0VOHJJ32vPV16aTatW1vrKdzFxMSwZMmSIoOTpYgbU7GOZLqNgLnJFVvd5wdEZA3QGOgDdHeLTQc+xQlQfYAZ6kx085WI1BaRhpUxSWPmzFi+/db3NN92W0aIamNKa8SIEXz77bc+yyxF3JjgkLzJzootVHi6jXyqWqqvjiJyLPA50A74Q1Vru8sF2KOqtUVkIfC4qi5z130M3Kmq3+TtZ9++ffn1SU1NLU0Vgmb9+gSGDWtNZubh7r2zztrDv/+9PoS1MnlUlZ9++ol58+YxevRoGjduXKhMRkYGvXv3Jjc3l4suuogrr7ySE044IQS1NaZqatmyZf7zpKQkn7tByzrdRkPgRmBWaSoiIonAG8BNqrpfvO5MVVUVkTLdV+V9gCVJTU0tVfmySk+HwYMTfYJTtWrKk0/GBOX9AxWs8xFO0tPT81PEV650Bkc58cQTefDBB/2ej3nz5tGmTRsSExP97a5Ki8S/j+LY+fBV0eejzNNtiMinwPs4yQwlEpFYnOA0U1XfdBdvz+u6E5GGQF5n/xacG4PzNHGXVRq3316NX37xTYx46qlDtGpl155CpbhRxF955RXuvvtuv9t16tQpGNUzxhRwJOlGmUBAyRNu910KsEZVn/Za9TYwzH0+DFjgtXyoOLoA+yrT9ac5c2J57TXfaxMDBmQxaJDdFxNsWVlZzJ8/n969e9OlSxcmTZrkd4qLXbt28d5774WghsaYogQ6H1TB8faq46SAB/of3RUYAqwSkR/cZfcAjwNzRCQZ+B242l23yN3/Opw08+EBvk/IpafDfff53vPUqlUuTz1ls5QE06ZNm5g+fXqJKeJ5o4gnJyfTs2dP1q+364PGhItAr0E1LfA6HXga5wbeErnJDkUNhdrTT3nl8L1XlcrEifFs3364YRofr0ydepAaNUJYqQjy1VdfMWHCBBYvXozHU3R3qqWIGxP+Ar0GVWlaMKG0fbvw3HO+9zyNHZtJmzZ23SlYVq5cWWxXnaWIG1N5FHsNSkS6isi/ilj3uHt9yLj+9a940tMPNxTr1vVw0002YkQw9evXjxoFmqs1a9Zk1KhRLF++nEWLFnHllVdacDKmEigpSeIenHuW/PkU+Ee51qYS+/XXKKZP9/3Qu+OOTJKSQlShKiotLY1p06bx6quv+l2flJRE3759AWjbti3PPvssa9as4cknn6R169bBrKox5giV1MXXHieV3J+PgCnlWptKKiMD7rgjgdzcw62n44/PZfjwrBDWqmopmCLepEkT+vfvT0xM4T/hG264gYEDB9KxY0fEZoE0ptIqKUDVAuIAfylosUDNcq9RJbNpkzBkSHV++MH3VD7wQAbWi3RkihtFfPPmzSxevJjevXsX2u7444/n+ONLHMPYGBPmSgpQa4FeHL4/yVsvd33E+uyzaEaMqM6uXb49pZ065XDppTkhqlXlF2iK+NSpU/0GKGNM1VBSgHoG+K+IRANvqapHRKKAy4D/ALdUcP3C1rffRnPVVTXIzvbtQmrRIpdJkw5iPUul4/F4+OSTT0hJSSlVirgxpuoqNkCp6msicgzOSOPxIvIXUA9nFIkHVPX1INQxLD3ySHyh4HThhdm89NJBS4wohf379zNt2jSmTJnCxo0biy1rKeLGRJYS74NS1adFZDJwOlAX2AUsV9XC48VEiNWro/jkE9/ZUu+5J4PbbsvE5qornaysLB5++GGysvwnlNSsWZP+/fszfPhw2rRpE+TaGWNCKdAbdfcDiyu4LpXGCy/43ozbpUsOd9xh9zuVRb169bjsssuYM2eOz/K2bdsycuRI+vbtG5GjiBtjjmyw2Ii0Y4cwZ45v62nsWAtOxVm7di2PPvpokdeVkpOTAYiLi+Pqq6/mgw8+YNmyZQwfPtyCkzERLCgz6lYlkybFkZV1+NpT8+Yeeve2jL2C/KWIn3HGGXTv3r1Q2U6dOjFhwgR69+5NvXr1glxTY0y4sgBVCocOQUqK78X5667LJDq6iA0iUHEp4ikpKX4DlIhYRp4xphALUKUwe3Ysu3cf7hWtVUsZNMhGiwg0RXzRokX8+eefNGrUKMg1NMZURhagAnTwIDzzjO88T9dck0XNCB5LY9euXcycOTOgFPHTTz+dkSNHWheeMSZgFqAC9OijCfz+++HWU0yMMmZMZCZHrFixgsmTJ/PWW2+RmVn0ObAUcWPMkbAAFYDvvovmhRd8rz0NH55F48YaohqF1jPPPMOiRYuKXN+uXTtGjhzJVVddZVl4xpgyswBVgqwsGDeuGh7P4cy9Jk083H9/RghrFVojR44sFKDi4uK47LLLGDlypI0ibowpFxagSvDss/GsXh1dYNmhKn3tKS9F/MQTT6Rdu3aF1nfv3p3jjjuODRs20Lx5c0aMGMGgQYPs+pIxplwFJUCJyBTgYmCHqrZzl9UBZgPHAhuBq1V1jzhfvScAFwEHgWtU9btg1LOg336L4sknfUeN6N8/i3PPrZr3PRVMEe/fvz8vvfRSoXJRUVE8/PDDxMXF0bNnT6JsfCdjTAUI1ifLNOCCAsvuAj5W1ZbAx+5rgAuBlu5jNPBikOpYyFNP+Q4IW7++h0cfrVpdex6Ph48++ogBAwZw6qmn8tRTT+XfvzR//nx2797td7vevXtz3nnnWXAyxlSYoLSgVPVzETm2wOI+QHf3+XScKeTvdJfPUFUFvhKR2iLSUFW3BqOueTZuFGbP9h3SaPz4DOrUqRqJEXkp4i+//DKbN2/2WyYzM5OZM2dy/fXXB7l2xlQuqkpaWlqx08RURQkJCezbty/g8lFRUSQmJgZ8jTqU16AaeAWdbUAD93ljYJNXuc3usqAGqGee8Z3CvUWLXPr2zQ5mFcqdqrJixQpSUlICThHv1atXEGtoTOWUlpZGfHx8xE0DEx8fT0JCQskFXVlZWaSlpVEzwIv4YZEkoaoqImVumqSmppZr+W3b4pg50zc5YPDgP/jtt12lrls4OHjwIO+//z7z5s0r8dhbtmzJVVddxQUXXED16tWB0p/fyi7Sjrckdj58+TsfCQkJ1K9fn4yMqnUJIBClPea9e/eybdu2/NctW7YssmwoA9T2vK47EWkI5A3ctgVo6lWuibusSMUdYEGpqaklln/55QRycg5fWzn22FzGjatDTEydgN8nnLz99ts89thjRa63FPHDAvn7iCR2PnwVdT727dtXqpZEVZGRkVHq465VqxZNmzYtuSChDVBvA8OAx92fC7yWjxORWUBnYF8wrz9t3SrMmOHbTL/llkxiwqKtWTYXXXQRDRs2ZOtW39PYvHlzLr30Um688UZLETfGhJ2gpGCJyOvAcqCViGwWkWScwHSeiKQC57qvARYBvwHrgEnA2GDUMc+zz8aTmel7U27//uF/7WnTpk1Fju4QExOTP1p4VFQUF1xwAXPnzuX7779n6NChFpyMiUAzZ87k9ttvB2DKlCm8/vrrAPz666+ceeaZdOvWjQ0bNjB37tyQ1TFYWXwDiljV009ZBf6vYmvk3x9/CFOn+raebr45k3C97llwFPHq1auzZs0avxcghw0bRlZWFtdccw3NmjULQW2NMeFqxIgR+c/fffdd+vTpw+23387SpUuZN28effv2DUm9KnHHVfl7/PEEn8kImzTxhOV0GkWNIp6WlsacOXPyZ6j11rBhQ+6///4g1tKYyFW7dlK57m/v3pJTuX///Xf69+/P8uXLAXj++edJS0tj2bJltGvXji+++ILc3FwmTpzI3//+d59tH3vsMRITE2nVqhUvvvgi0dHRfPbZZ2RkZOS3qAYMGMD//V9w2w4WoFxr1kQxa5bvfU933ZVBuFz3zEsRnzx5MgsWLCgyRTwlJYURI0ZEdKKDMcbXoUOHWLZsGV988QXjxo3LD2IF9erVi+HDh5OYmMj111/P0qVLmThxIrNnzw5yjR0WoFzjxyf4DAjbqlVuWFx7SktLY968eaSkpLBq1apiy+aNIu7xeIi2aX6NMa4rr7wSgK5du3LgwAH27t0b2goFyAIU8PXX0Sxa5Nt6uvfejJBm7q1du5aUlBRmz57N/v37iyxnKeLGGHCSobxHsvC+P6ng50Jl+ZyI+AClCv/8p28/3mmn5XDxxaEbEDY7O5vevXuza1fRNwbbKOLGhK9ArhmVt6OPPpqdO3eye/duatSoweLFi+nZ08lDmz9/PmeddRbLly+nVq1aJCUFdo2sZs2aHDhwoCKrXayID1DffhvNF1/4noYHHsgglF8wYmNjGTRoEM8995zP8qioKHr16sXIkSPp0aOHDdRqjMkXGxvLHXfcQY8ePWjYsKHPDcXx8fF069aNnJwcJk6cGPA+27ZtS3R0NF27dmXgwIFBT5IQJ6u78tm3b1+ZKl7wTvAxY6oxe/bhPPJzzslm/vyDR17BEng8HpYsWcIZZ5xBtWrVCq3fsGEDf/vb3wCoX78+Q4cOZdiwYeWeIm4jBfiy8+HLzoev4kaSCLRVEmy9e/fm4Ycfzv88KU9lGUmiuHOVlJTk0zSI6BbUX38J8+f7XnsaO7Zi08p37drFq6++ytSpU9m4cSMvvvgiAwYUvk3suOOO46abbuLkk0/mkksuibhBKI0xJqID1CuvxPnc93Tccbn07Fn+155Ula+//pqUlJRCKeJTpkzxG6AAHnzwwXKvizEmsrz77ruhrkKZRWyAys2FKVN8WyUjRmRRnpd18lLEJ0+ezE8//eS3zIoVK1i5ciWnnHJK+b2xMcZUAREboBYvjmHTpsPRKCFBGTy4fO57Km2KuL9rUMYYE+kiNkBNnuzberryymyOOqrsCSNZWVksXLiQyZMn8+WXXxZb9thjj81PEa9bt26Z39MYY6qyiAxQ69ZF8cknvskRo0YVPbtsIMaPH8/zzz9f5HpLETfGmNKJyE/JmjWVm2/OoG5d567r007LoX17TwlbFa+oRIf69etz22238eOPPzJr1izOPfdcC07GmLB38sknFztYQDBEZAuqQQPlgQcyufPOTBYsiKVevcC69nbt2sXu3bv93gfRpk0bTj/99PxBGM844wySk5MtRdwYE3SqiqpW+i/DERmg8iQkQL9+xSdGFBxFvEuXLixYsMBv2bFjx9KuXTtGjBhB69atK6LKxphKoHbt2mXa7tRTT+Wzzz4r07a///47V155JX//+9/58ccf6dChA6tXryYjI4NLL72Ue+65B3BaRgMGDOD9998nJyeHadOmceKJJ7J7926Sk5PZunUrHTt2xHsQh4kTJzJz5kwAhgwZwtixY/Pfr2PHjnz99dd06NCBQYMG8dhjj7Fz504mTZpUaFqP0oroAFWcokYR/+yzz1i3bh0tWrQotM0ll1zCJZdcEsxqGmNMvvXr1/Piiy/SsWNH9uzZw1FHHUVubi6XXnopP/30E+3atQOgbt26fP7550yePJnnn3+e559/nscff5wuXbpw5513snjxYl555RUAfvjhB1577TU++ugjVJVzzz2Xrl27Urt2bTZs2MD06dNp3bo155xzDnPnzuX9999n0aJF/Pvf/+a11147ouOp3O2/CrB27Vpuv/122rRpw0033eR3iospU6aEoGbGGFO8pk2b0rFjR+DwALHdunVj7dq1/PLLL/nl8r5It2/fnj/++AOAL7/8kn79+gFw/vnn57cCly9fTu/evalRowaJiYlcfPHF+ZcymjVrRtu2bYmKiuKkk07i7LPPRkRo27Zt/n6PhLWgOJwinpKSwhdffFFs2ebNm3PCCScEqWbGGBO4GjVqALBx40aef/55lixZQu3atbnuuut8pt+Ij48HIDo6mpycso+e4319PSoqKn+/IkJubm6Z95snogPUpk2bmD59OjNmzGDHjh1FlstLEU9OTqZnz56V/sKjMaZihXpCwAMHDlC9enVq1arFjh07+OijjzjzzDOL3eaMM85g7ty53H777Xz44Yf5x3D66aczduxYbr75ZlSVd999l5deeikIRxHGAUpELgAmANHAZFV9vDz3v27dOjp16uQzwVdBFTmKuDHGVJSTTz6ZU045hY4dO9K4cWM6d+5c4jZ33XUXycnJdOnShU6dOtGkSRPA6QYcOHBg/txSQ4YM4dRTT+X333+v0GOAMJ1uQ0SigV+B84DNwApggKquzitzpNNtqCpnn302K1euLFSma9euJCcnc/HFF1f5FHGbTsGXnQ9fdj58VcbpNipSRU+3Ea59VZ2Adar6m6pmAbOAPuX5BiLCyJEj81/XrFmTUaNGsXz5ct59912uuOKKKh+cjDEmnIVrF19jYJPX681AyW3UUrryyit5/fXX6devH1dddRWJiYnl/RbGGGPKKFy7+K4CLlDVke7rIUBnVR2XV8a7iy81NTX4lTTGGFdCQgL169cPdTUqhZ07d/pkFHp3mVaWGXW3AE29Xjdxl/lVmj5y61P3ZefDl50PX3Y+fBV1Pg4cOEBUVFTEXRYo7TWorKwsateuTc2aNQMqH64BagXQUkSOwwlM/YGBoa2SMcb4l5iYSFpaGocOHQp1VYJq//791KpVK+DyUVFRpbqUEpYBSlVzRGQcsBgnzXyKqv4c4moZY4xfIhJwq6Aq2bFjB02bNi25YBmFZYACUNVFwKJQ18MYY0xohGuauTHGmAgXlll8gSjrjbrGGGPCU2W5UdcYY0yEswBljDEmLFXaLj5jjDFVm7WgjDHGhCULUMYYY8JSxAQoEblARH4RkXUicleo61ORRGSKiOwQkZ+8ltURkQ9FJNX9eZS7XETkOfe8rBSRDl7bDHPLp4rIsFAcy5ESkaYiskREVovIzyJyo7s8Us9Hgoh8LSI/uufjn+7y40Tkf+5xzxaROHd5vPt6nbv+WK993e0u/0VEzg/RIZULEYkWke9FZKH7OmLPh4hsFJFVIvKDiHzjLgvN/4uqVvkHzmgU64HjgTjgR6BNqOtVgcd7FtAB+Mlr2RPAXe7zu4B/uc8vAt4DBOgC/M9dXgf4zf15lPv8qFAfWxnORUOgg/u8Js48Y20i+HwIkOg+jwX+5x7nHKC/u/wl4Dr3+VjgJfd5f2C2+7yN+38UDxzn/n9Fh/r4juC83AK8Bix0X0fs+QA2AvUKLAvJ/0uktKAqfH6pcKKqnwO7CyzuA0x3n08HLvNaPkMdXwG1RaQhcD7woaruVtU9wIfABRVe+XKmqltV9Tv3+QFgDc50LpF6PlRV09yXse5DgR7APHd5wfORd57mAT1FRNzls1Q1U1U3AOtw/s8qHRFpAvQGJruvhQg+H0UIyf9LpAQof/NLNQ5RXUKlgapudZ9vAxq4z4s6N1XunLndMX/DaTVE7Plwu7N+AHbgfHCsB/aqao5bxPvY8o/bXb8PqEsVOh/As8AdgMd9XZfIPh8KfCAi34rIaHdZSP5fwnYsPlNxVFVFJKLuLxCRROAN4CZV3e986XVE2vlQ1VygvYjUBuYDJ4W2RqEjIhcDO1T1WxHpHuLqhIszVXWLiBwNfCgia71XBvP/JVJaUKWaX6qK2u42vXF/7nCXF3Vuqsw5E5FYnOA0U1XfdBdH7PnIo6p7gSXA6ThdM3lfWL2PLf+43fVJwC6qzvnoClwqIhtxuv57ABOI3POBqm5xf+7A+QLTiRD9v0RKgMqfX8rNxukPvB3iOgXb20BeJs0wYIHX8qFuNk4XYJ/blF8M9BKRo9yMnV7uskrFvT6QAqxR1ae9VkXq+ajvtpwQkWrAeTjX5ZYAV7nFCp6PvPN0FfCJOlfB3wb6u1ltxwEtga+DchDlSFXvVtUmqnoszufCJ6o6iAg9HyJSQ0Rq5j3H+Tv/iVD9v4Q6YyRYD5xsk19x+tv/Eer6VPCxvg5sBbJx+n6TcfrJPwZSgY+AOm5ZAf7jnpdVwGle+xmBc7F3HTA81MdVxnNxJk6f+krgB/dxUQSfj1OA793z8RNwv7v8eJwP1HXAXCDeXZ7gvl7nrj/ea1//cM/TL8CFoT62cjg33TmcxReR58M97h/dx895n5Wh+n+xoY6MMcaEpUjp4jPGGFPJWIAyxhgTlixAGWOMCUsWoIwxxoQlC1DGGGPCkgUoY46QiEwTkYdDXY9wJiKfisjIUNfDVC4WoEyV404XsMO90TBv2UgR+TSE1SoTcabESHMfuSKS4fX6niDV4VgRUa+RFYwJCgtQpqqKBm4MdSVKS0SivV+raltVTVTVRGApMC7vtao+GuA+LbCYSskClKmqngRuyxvWx5u/FoF3F5SIXCMiX4jIMyKyV0R+E5Ez3OWb3NZZwQnY6rkTuR0Qkc9EpLnXvk9y1+0WZzK7q73WTRORF0VkkYikA+cEcnAicoKIfCIiu0TkLxGZ6X2sbivyThFZCaSLSIyIDBWR391t7nPLnOuWjxKRu0Rkvbt+jojUcXf3uftzr9tyO93dZoSIrBGRPSKyuMAxnycia0Vkn4hMxBlxwJhSsQBlqqpvgE+B28q4fWec4YDq4kxkNwvoCLQABgMTxRkhPc8gYDxQD2c4pZmQP57Zh+4+jsYZ7+0FEWnjte1A4BGcCRWXBVg/AR4DGgGtcQbmfLBAmQE48xzVBk4EXnDr2RBnkFPv6Q+ux5nj52x3n3twhrABZwJMgNpuy225iPQB7gGuAOrjtO5ed4+5HvAmcK97PtbjDMpqTKlYgDJV2f3A9SJSvwzbblDVqepMTTEbJwA8pM6EdB8AWTjBKs+7qvq5qmbijMl2uog0BS4GNrr7ylHV73FGVu/rte0CVf1CVT2qmhFI5VR1nap+6NZnJ/A0TnDx9pyqblLVQzgDm76jqsvUmbTzfpwxCvNcizPu2mb3GB4Eriqme/Ba4DFVXaPOvEiP4kzh0RxnrMOfVXWeqmbjzLe0LZDjMsab9U2bKktVfxKRhThTVK8p5ebbvZ4fcvdXcJl3Cyp/cjZVTROR3TgtkeZAZxHZ61U2BnjF37aBEpEGONNCdMNpeUXhtHq8ee+3UYE6HhSRXV7rmwPzRcTjtSyXwxPTFdQcmCAi//auFk6rrOB7qYiU+hiNsRaUqeoeAEbh252V7v6s7rXsmCN8n/y5b9yuvzrAnzgf1J+pam2vR6KqXue1bVlGbH7U3e5kVa2F0+1Y8DqP93634szJk1fHajjdl3k24YzA7V3PBHXmBvJXv03AmALlq6nql+57eZ8PwXduIGMCYgHKVGmqug6ni+4Gr2U7cSZPGyzO9OcjgBOO8K0uEpEzxZlvbDzwlapuAhYCJ4rIEBGJdR8dRaT1Eb5fTSAN2CcijYHbSyg/D7jETfaIw+nC8w5oLwGP5CU6iDNvVB933U6c6dCPL1D+bhFp65ZPEpG8bst3gbYicoXbRXgDR/4FwEQgC1AmEjwE1CiwbBTOh/ouoC3w5RG+x2s4rbXdwN9xWjSo6gGcydr647SotgH/AuKP8P3+CXQA9uEEhDeLK6yqP+MkQszCaeGk4cyKmukWmYAz+dwHInIA+AonUQRVPYiTxPGFm9XYRVXnu8cxS0T248wtdaFb/i+ca2yP45zflsAXR3i8JgLZfFDGRCC3G3Iv0FJVN4S4Osb4ZS0oYyKEiFwiItXd1PencGZA3RjaWhlTNAtQxkSOPjjdjH/idLv1V+tCMWHMuviMMcaEJWtBGWOMCUsWoIwxxoQlC1DGGGPCkgUoY4wxYckClDHGmLD0/zodGFAD2bqHAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[51, 101, 151, 201, 251, 301, 351, 401, 451, 502, 552, 602, 652, 702, 752, 802, 852, 902, 952, 1003, 1053, 1103, 1153, 1203, 1253, 1303, 1353, 1403, 1453, 1504, 1554, 1604, 1654, 1704, 1754, 1804, 1854, 1904, 1954, 2006, 2055, 2105, 2155, 2205, 2255, 2305, 2355, 2405, 2455, 2506, 2556, 2606, 2656, 2706, 2756, 2806, 2856, 2906, 2956, 3007, 3057, 3107, 3157, 3207, 3257, 3307, 3357, 3409, 3457, 3508, 3558, 3608, 3658, 3708, 3758, 3808, 3858, 3908, 3958, 4009, 4060, 4109, 4159, 4209, 4259, 4309, 4359, 4409, 4459, 4510, 4560, 4610, 4660, 4710, 4760, 4810, 4860, 5011]\n",
      "[33.26769230769231, 61.49401913875598, 83.66289511494253, 107.72877122877121, 125.91849429267667, 152.3695652173913, 161.67593624975405, 183.1423855963991, 198.89074998020115, 223.48980795282492, 235.13051732320835, 243.85181249654102, 252.51478129713422, 255.53049242270012, 265.96527068437183, 275.40868046894485, 272.3884370579915, 281.70819031838084, 283.55942275042446, 300.29050421707376, 313.52985948477755, 314.7067231426446, 324.31899541234696, 336.51152085199556, 340.56493506493507, 343.9968875317491, 342.97918751775524, 354.2069641732203, 357.3338941560756, 366.64081138198435, 366.60629415117097, 375.73813477625407, 382.7297294135538, 382.72811570400506, 393.84120978070763, 394.85971017414386, 400.82986925913514, 401.8873841264234, 403.83932023727556, 416.87561441183504, 427.2809867321532, 440.2157171547875, 456.27261439462893, 467.4599999999999, 482.40734663619537, 494.3082511293167, 499.3989261849553, 504.6732522796351, 511.6994190871368, 516.2118105796341, 523.3056160328947, 528.3701176851811, 528.4879509870659, 530.4329757987969, 534.5513442899285, 539.7046638969739, 542.6408404696743, 536.8347018204645, 535.0451394994429, 535.0794200019825, 541.1864078193772, 541.9012332476127, 545.7544933449916, 546.8971079669016, 549.8640204543929, 549.9185117355158, 562.9701068105861, 562.8719140020669, 571.8385454849779, 578.2160807891671, 590.6484020054255, 595.7379360366838, 613.5884281385428, 617.2152988318594, 623.545048037359, 625.2874805231495, 636.2338346753822, 640.2662685269222, 643.7796394829616, 641.3998023005031, 632.1117528779992, 631.0124454050159, 636.039184471481, 636.1053763440858, 637.1893770277435, 620.9177065084117, 624.8402389154678, 619.9332399269051, 618.8462928194696, 618.6917866306684, 612.5657598492563, 606.5154715612737, 594.3562129270393, 601.90266521197, 590.9624705719431, 572.6462863786173, 545.4522672879377, 486.41934903966205]\n"
     ]
    }
   ],
   "source": [
    "perf_h2o.plot_uplift(metric=\"gain\")\n",
    "\n",
    "n, uplift = perf_h2o.plot_uplift(metric=\"gain\", plot=False)\n",
    "print(n)\n",
    "print(uplift)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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rwd8MywPxbaC53aYPluXwKJYiiMEaiix0DgpraM8JnFtAXRcsR4ym9v7V9v5YLGV5IXA/llfhPz2OXYyVPuR2W9b2WF6FB3PvyW7XFitf0vdYjgUtsB7s92MlfqxVyu/KHS59cRGWs0s2cJtLmz5YyrKRS9lDWPNBF9jfkePAVJf66liKZY/dB67/q2ou7brb/fq8fU+9sDwvn3dpczmWRfehfc83Yn1HJ/v7t6Yfj++TvwXQT+B/KFhBhWNNLOcpKLv8ImApp93MF1OAm3kB1/iSEiooe78fVorzdCy39c72A3GYS5uiFNQYinczvwzLmeE41gT7Lvvh5vrAfxQrH1GaLfc9FK2gFlKIOzTW0PsRXJwl7Pv6Ams+6CSWYonBduZwaVcdazjyZ6wXiH1Y8znnFXCdplhJ/vZiOSn8afdvL8/zlvD7MgxLSWZiDScOLqDeYCtguyzevudM+9hngCCX+hsK+T8Z1/+13bY/ljWfbp/raTzc5jn9MpNu3/9YIMLfvzX9uH80WKyiKIoSkOgclKIoihKQqIJSFEVRAhJVUIqiKEpAogpKURRFCUgq1ELdpKQk9ehQFEWppNSsWdNtDaNaUIqiKEpAogpKURRFCUiqhIJKTEz0twgBh/aJO9of+dE+cUf7Iz/l3SdVQkEpiqIoFQ9VUIqiKEpAogpKURRFCUhUQSmKohRAWhrs3SukpflbkqpLhVoHpSiKUp788YewYkUIy5cHs2ZNMGlpQlCQ4aKLnDRr1pQePULo1y+L0JKmw1RKhSooRVGqNAcOCAsWhDB/fgjffJP/kZiTI+zYEcSOHfVYsgQ++iibSZNSOe887+IGGANJSXDkiIPDh4VatQwtWzqREqXVrJqoglIUpUqSmgqPP16NWbNCMMZ7bbF5czCdO0fxwQdpdOuWnVeekgKffBLKlCkh/PprEDk5lnLKzraUnCuxsRmMH5+uSqoYVEEpilLlOHEC+veP5Ouvi34E1qxpSErKr0VOnHAwYEAkHTtm07Chk9BQWLQohJMnvdM48fFhtGmTw9ChWaURv8qgCkpRlCrFgQNC376R7NgRVGB9u3bZ3HZbNl27ZtGypZOkJPjxxyDeeCOLL7+s7dZ27drSP0KffroaV1+dw8UXO0t9jsqOKihFUSo1KSnw+efB/PJLELt2OVizJpgDB9wdmM8/P4dhwzLp3TuLc891n1uqVQs6dcrh7LN389lnrRgzJjzfkF1xREQYGjRwcvCgg/R069i0NCE2NoL581NYvTqYzz8Pplo1GDAgk/btc3T4D1VQiqJUUjIyYNKkUMaODePo0cJX1Fx3XTYzZ6ZQs2bR5xOBhx/O5Morc3jwwWrs3ZvfAqtb18mwYZkMGZJJgwYGh8M6LizMqp82LYSRIyPy2u/YEcRFF9VwO8eUKaG0bJlDTEwmV1yRQ4MGTho0MISHe3/vlQVVUIqiVCr++ktYvDiY8ePD+f33opd6duuWRUJCKtWqeX/+667L4Ycfktm2zcHBgw4OHRKOHROaNnXStWt2kYokOjqLr77KZPbsov3Ud+wI4qmn3IVyOAxBQRAcDLVrG3r1yuKxxzI466zKm4VIFZSiKBWerCyYODGURYtC+PrrIJzOosfHgoIMsbGZvPxyOiEhJb+ewwGtWztp3bpk80ciMH58Gt99F8SePQXPgRWG0yk4nda9pqUJH3wQxuTJodx3XyaPPppBnTqVT1GpglIUpUKTmQm9e0eycWPhj7PISMOAAZm0bOnk/PNzaNnSGjbzBzVqQHx8GnfeGcHx45aF17x5Dj17ZrN7t4OlS4OLVbC5pKUJb78dRnx8KPffn8HIkRnUqlWOwvsYVVCKolRoxo4NK1Q5hYQYhg3L5KmnMvymkAriiityWL8+mc2bgzj3XCeXXnp64e4ffwjTpoXy3XdBHDrk4MgR4fBhKdIx49QpYdy4cD78MIyHHrIUVWSkj26mHFEFpShKhWXLFgdvvBGWr/zSS3Po1i2LwYMzado0cBSTK+ecYzjnnOx85Y0aGZ5+OsOtzBjIybE+GRkwa1Yo48aFceiQ+xzbyZPCK6+Es3hxCAsXprgN+zmd1qLhihSmSYPFKopSIcnMhIceinCzLM46y8nmzadYty6Z557LCFjlVFJELOeIsDBriPDeezPZvPkU//lPGnXr5p8H++mnIPr0ieTECStixujR4TRrVoNLLqnOpEmlmHTzE2pBKYpSIRk3Lozt290dDd58M41mzarGwteICMvtPSYmkw8/DOO//w3lxInTNsfWrUH06hVFUpKwb19uufD3v0fw55/pPPtsRsCvtVILSlGUCoMxsH59EEOHRjBunPvQ3t13Z9K9e/4hs8pOVBQ8/ngGW7ee4vrr3e//xx+DXJTTaV5/PZynngrHGeC6XBWUoigVgq1bHXTuHEWPHlEsWhTi5unWoIGT115L96N0/qdmTfj44xTat/dOSU+cGMb991cLaCXlEwUlIvEiclhEthVSHy0iP4rITyKyQUQu94VciqJUDLZuddCzZxQ//ph/7ZCI4a230qhdu3LMN50JUVHwyScptGvnrqREDNHRmdSq5a6NZs8O5cMPA9drwlcW1CSgWxH1e4DOxpjLgP8AH/pCKEVRAp+ff3Zw552RBUYKv+SSHGbOTK2SQ3uFUb06zJmTQt++mYSFGdq3z2bVqhTefTeNZctSaNjQXUm98EI4+/YF5mSUT5wkjDFrRKRpEfUbXHY3AY3LXShFUQKe335zcMcdkfz1l/u7dNeuWTz4YAadOmlQ1YKoWRPi4tLIyUkjyMXovOQSJ8uWJdOpU/U8hZ+aKvz979WYNy814PpSjPGNWWwrqMXGmEuLafckcLExZoRnXVJSUp6wiYmJZS6joiiBQWamMG9efeLiGnLihLtb9ODBB3nkkf0B9zCtSCxYUI+XXmrqVjZ69B569vzL57K0aNEib7tmzZpu/9WAUlAiciPwHnC9MSZfT7kqqJKQmJjo1gmK9okn2h/58UefOJ0wc2YIr7wSzv79+WcgRozIYOxY/2SirUzfEWOgV69It3xWNWsavvnmVImCz5Z1n3gqqIDx4hOR1sBEoHdByklRlMrN8ePC3XdH8NBDEQUqp0GDMnn9dU2TXhaIwH//m0a1aqeVUVKSMHp0YOX0CAgFJSLnAvOAIcaYX/0tj6IovuXHHx3ccEMUq1blj3IQGWkYNSqdd95JwxEQT6zKQbNmTv75T3fX/LlzQ/jjj8B5A/CJk4SIzARuAOqJyH7g30AIgDHmA2A0UBd4T6zXo2xjzFW+kE1RFN9y6JDwj39UY8sWa/ZexHDggIOMDPcHY2ioISYmkyeeCKxAr5WJBx7IZMqUUH791fpfZGcLcXGhjB6dUcyRvsFXXnwDi6kfAeRzilAUpXJx4gT06RPJjh1F50Jq1y6bjz5KrTSx9AKVoCD4298yefzx08kRJ00K5cknM4iIKOJAH6EGs6IoPiEtDQYOLF45DR+eweLFKaqcfET//pnUrHm6r48dczB7dmAElFUFpShKueB0wuHDwp9/Cvv3C7GxEUUmFTzrLCfvvpvK+PHphOXPoKGUE5GRMGxYplvZ+++H4SMH7yLRaOaKopwxWVmWMjpwwMG33waxbl0wGzYE5WWMLYj27bN59900wHJ7btrU6baoVPEdI0ZkMGFCaF7qkp9/DuLLL4O58Ub/RuhQBaUoSok5eRI++yyERYtC2LQpiCNHSjYY07JlDjNnplSq9OQVmSZNDL16ZTF//um4fB98EKoKSlGU8iM7G77/3rJo1q8P4rvvgomKMtx7byYjRmRQvXrx5/jmmyAWLgzh0CHh5Enh+HFh69YgMjNL547cpImTuXNVOQUaf/tbppuC+uyzELZscdCmjf/CnauCUpRKyNGjQkJCKHFxoRw8mD8t+PPPh/P226E88EAm3bplccEFTiIj3c+xY0cEzz4bUeDaJG+JijJERRlEwOGwgruOG5dGw4YBMMGhuHH11Tm0bZvNDz+cVgtPPFGNlStT/Lb+TBWUolQScnKsZH4ffxzK3Lkh+dYVeXLihINXXgnnlVes6AGNGjmpWdNgjGV5JSa29PraIoZ69QxnnWVo2tTJdddlc/312bRqpfNKFQURGDUqg379TquF778PZsqUEIYNy/KLTKqgFKWCkpEBu3c7+PVXB5s2BbNgQUg+a6kk/PGHgz/+8L598+Y59OqVRa9e2bRunUOwPk0qPLfckk3Pnll8+ulpq3nMmHBuvz2bevV8b/XqV0pRApz9+4X4+FCWLAnh+HEhJ8dy4T55UvK8rooiMtJw221ZXH99Nm3b5rB0aQjvvx9GUpL3c0jt22cTHZ1J3bqGmjUNZ59taNbMqXHxKiGvvJLGF18Ek5Ji/XNPnHAwZkw4Eyak+VwWVVCKEqB8/XUQ774bxpIlwV4pIk/OPdfJffdlMHhwpptDQuvWGTz4YAaTJ4eydm0wiYkO9u1zuKVQz+Wqq7L55z8zuOGGbFVGVYTGjQ3/+Ec6//736egS06aFMnhwJtdem+NTWVRBKUqA8ccfwr/+Fc68eSVPxR0VZejRI4u+fbO4+ebsQud/atSAhx/O5OGHrQWamZnw++8OMjLIU0THj/9Ghw5NS3kXSkXmgQcymTkzlJ9/Pv0FeuKJanz1VbJPh3JVQSlKgJCSAhMnhvL66+F5wyvF0bixkwsvzOHCC520b59Nly7ZVKtW/HGehIbCBRe4uxMnJvpnYlzxP6GhMG5cGrffHpVXtn17EB9+GMqDD2YWcWTZogpKUfyI0wkbNgQxY0YoixaFkJxcsGK65JIc7rsvky5dsggNtVy2w8NNPtdwRSkrrr8+h7vvzuSTT05b8q+8Ek6fPlk+WyagCkpR/MTq1cE8+2y42zCKJ5dfnsMLL6TRqVOOzgEpPuc//0ln+fIQTp60vnynTgnPPRdOXJxvHCY0WKyi+JjffxeGDo2gT5/IQpVTrVpO3ngjjS++SKZzZ1VOin846yzDc895JjUM5auvfLO4TRWUoviI3bsdPPVUONdcU51FiwqOztCwoZPHHkvn+++TiY3N1EWuit8ZPjyT1q3dvfeefLIaGT7IaahDfIpSjhgD69YF8d57YSxfHowx+U0hEUPv3lkMGZLFDTcU7nmnKP4gKAjeeCONW2+NzPv+JiYGMWFCGL16le+11YJSlHIgNRUmTw6hQ4coevaMYtmykAKVU9u22axalcKkSWlFuoUrij+56qoc7rnH3Xtv3Lgw/vyz5EshSoIqKEUpY778MojLL6/Oo49GFJo99pxznPz3v6msWpXClVf6dvGjopSG0aMzqFv39FKEtDRh/Pgm5XpNnygoEYkXkcMisq2QehGR/4rILhH5UUTa+kIuRSlrvvgimP79IwvNj9SmTTYffZTK1q2nGDo0y29RohWlpNSpYxgzxt1hYs2a2ixbVn4zRb76eUwCuhVRfxvQwv7cB7zvA5kUpUz54otgBg6MyBdF3OGwksEtWZLM6tUp3HVXFiGlz2ChKH4jOjqLa67JBv4HvAxk8/TT1UhNLZ/r+cRJwhizRkSaFtGkNzDFGGOATSJSS0QaGmMO+EI+RTlTVq8OZtCg/Mrpb3/L4KGHMmjSRPMfKRUbp9PJF198QUhIPLAccAKXcOWVPUhPFyIiyv47LpZOKKaRSDPgJaANEOVaZ4w516sLWQpqsTHm0gLqFgOvGmPW2fufA08bY75zbZeUlJQnbGJiojeXVZRyJzGxGrGxF5Oe7j7f9OSTv9O//2E/SaUoZcOJEydYuHAh8+bN488//3Sru/ji65k69c0zOn+LFi3ytmvWrOn2huetBTUD2A08AZSTMVcyXG+qOBITE0vUviqgfeJOafvj+HHhrrsi8ymn115L4/77awI1y0hC36PfEXeqan9s2bKFCRMmFFj388/rCAoKonnz5uVybW8VVCuggzGmvJLT/wG4uoM0tssUJWDJyYERI6qxd6+7cnr55TTuv993ATUVpTxp06YNV1xxBZs3b3Yrb9WqFT179qRBgwbldm1vnSTWAFeUmxSwCBhqe/NdCyTp/JMS6Lz8chiff+7u7RAbm+HTaM+KUhZs2bKFDz74oND62NhYAMLCwujfvz8rVqxg3bp19O3bl6ioqEKPO1O8taD2AstFZD5w0LXCGDO6uINFZCZwA1BPRPYD/wZC7OM/AJYC3YFdWEOIMV7KpSh+YerUEMaPD3cru/rqbF59Nb2QIxQlsEhNTWXevHnEx8fzww8/ICLcdtttnHfeefna9u3bl6SkJAYOHEjdunV9JqO3CioSWIylVEq8MssYM7CYegM8VNLzKoo/eP/9UJ591j3p0llnOZk8OZXQ8l1YryhnzK+//kpCQgIzZswgKSkpr9wYw+TJkxk9Or/NERERwciRI30pJuClgjLGqEWjVHmMgddfD+OVV9wtp5AQw+TJqT7LkaMoJSUzM5MlS5YQFxfHunXrCm03depUnnnmGUID5E2rUAUlIk2NMXvt7UJdNIwxv5WDXIoScLz0Uhjjxrkrp9BQQ3x8Ktdeq+GKlMDj999/Z/LkyUydOpXDh4te8nDzzTcTGxtLUAAFhCzKgvoJqG5v7wIM4Bnt0gCBczeKUk58+mlwPuUUEWGYPj2VG2/M9pNUipIfYwwrVqwgPj6eFStWUNRa17p16zJ48GCGDRtGs2bNfCildxSqoIwx1V22NWKYUmXZt08YOTLCraxGDcPs2Slcc41aTkrgMWbMGHbu3Floffv27YmJiaFXr16Eh4cX2s7fqOJRlCLIyoIRIyJISjo9eBAcbJg7V5WTEpiICDEx+d0GqlevzogRI1i/fj3Lli3j7rvvDmjlBF4qKBEJFpFHRGSuiHwlImtyP+UtoKL4k5deCuPbb90HGsaMSaddO1VOiv84ceIE77//PocOHSqwvn///kREWFZ/69atefvtt9m5cyfjxo2jVatWvhT1jPDWzfxN4CbgQ6yYfP8EHgA+Lie5FMXvLFwYzFtvub9hdu2axUMP6UJcxfcYY9i8eTNxcXHMmzePtLQ0UlJSePLJJ/O1rVmzJmPHjuXiiy+mbdu2iORPllkR8HaI707gNmPM20C2/fcO4MbyEkxR/MlXXwVx773u807nnOPkvffSqKC/daWCkpKSwpQpU7jhhhu46aabmD59OmlpaQBMmjSJnJyCrfno6GiuvPLKCqucwHsLKgIrAQhAmohEGGN+FpHyDH+kKH5h8+YgoqMjycw8/cMOCjJ89FEqdevqWifFN+zcuZP4+HhmzZrFyZMnC2yzf/9+Vq5cSbduRaXbq7h4q6B2Au2Ab4DvgDEichIN6KpUMhITHfTrF0Fysvtb5zvvpNGhg847KeVLRkYGn376KfHx8WzYsKHIto0bN2bYsGG0bVt5E5B7q6AeBXJ/nY9jZbytjpX9VlEqBT/8EMTdd0fw11/uI9//+U8agwZl+UkqpSqwd+9eJk2axLRp0zh69Gih7USEW2+9ldjYWG699daAWlRbHngb6uhbl+1E4JZyk0hR/MD69TUYNSqS1FR3y+nvf0/n4YfVKUIpXxYsWMBbb71VaH39+vUZMmQI99xzT4HBXCsrXikoEbmpkKoMYL8xZl/ZiaQovmX69BCeeKIFOTnuymnYsAz+/e8MP0mlVCWio6N56aWXyMpyt9Svu+46hg8fTs+ePQMmPp4v8XaILw44x97+C8iNt34YOFtEfgQG2NaVolQYZswI4aGHIvKVP/FEOs89l6Eee0qZYIxhzZo1pKen07Vr13z19evXp3fv3syZM4caNWowcOBAYmJiuPjii/0gbeBQEgVVExhtjEkTkWrAGOAk8BYwHngPuLUcZFSUcmHhwmBGjnRPmyFieP31dO69V4f1lDPn+PHjTJ8+nYSEBHbv3k2LFi3o0qVLga7fI0eOpFOnTvTt25fIyEg/SBt4lMRJoqExJhvAVlLPAX8aY14SkSeA/eUlpKKUNStXBjNiRARO5+kHRUiIYeLEVHr31uCvSukxxvD9998TFxfH/PnzSU8/ncQyMTGRtWvX0qlTp3zHtWnThjZt2vhQ0sDHWwWVguVmvtGl7Eqs7LcAzrIUSlHKgpwc+P13B4cOCYcPC4cOOfj1Vwe//BLE118HkZV1Wjk5HKqclDMjOTmZOXPmEBcXx08//VRou/j4+AIVlJIfbxXUaGCFiCzCWrDbGOgJPGzX3wzMKXvxFKXkJCfDRx+F8e67oRw96l2wlNGj99K7d51ylkypjGzfvp2EhARmzZrFqVOnCm0XEhJCr169GD58uA+lq9h462Y+RUS+A/piOUv8CrQ3xuyw6xdjpYRXFJ9z8KBw6JBw9KiDLVuCeO+90HxrmYpi3Lg0Onf+C1AFpXhHRkYGCxYsICEhgU2bNhXZ9txzzyUmJobBgwdTv359H0lYOfDWgsJWRjtKeyER6Qa8jZXgcKIx5lWP+nOByUAtu80zxpilpb2eUvnZvdvByJHV2LjR66+xG/XqOfn3v9MZMiSLRPU/VUrAkSNHeOCBB3A6C57dcDgcdOnShdjYWG6++eZKv6C2vCjdL7uEiEgQ8C6Wl99+4FsRWZRrgdk8B3xijHlfRFoCS4GmvpBPqXj89JODO++M5MiRoi2lqCjDhRfmUL++oX59Q9OmTi66KIeLL3bSrJmTYJ/8ApTKRuPGjenatSvLli1zK2/QoAFDhw7lnnvuoUmTJn6SrvLgq5/n1cAuY8xvACLyMdAbd4vMADXs7ZrAnz6STalgbNoUxN13R3LyZOGLlKpXN/ztbxk8+GAmtWtrgFel5Pz5558sWbKEESNGFOgWPnz48DwF1alTJ2JjY+nRowchISG+FrXSIkXlqy+zi4j0A7oZY0bY+0OAa4wxI13aNARWALWBSOAWY8z3rudJSkrKEzZRx2SqBCdOBBMf35D162uSnm5ZS8ePB5OV5W45nXtuOmedlUnt2llcdFEavXsfoWZNDe6qlAyn08k333zD3LlzWbt2LTk5OSQkJHDppZcW2HbixIl06dKFpk2b+l7YSkKLFi3ytmvWrOn2JlAiC0pEmgCNjDFFzwqWjoHAJGPMeBFpD0wVkUuNMQUO8rreVHEkJiaWqH1VIND7JDsbEhJCeemlME6cKHoY78EHM3jxxQwcDrC+0tXtj/cEen/4g6rUJ3/99Vfegto9e/a41a1YsYI+ffoU2B9jx471pZgBR3l/R7yNxXcuMBNogzUUF+VpFRXDH4DrgGxj8qfqGA50AzDGbBSRcKAeVjglpQrx008OHngggm3bip9YHjUqnaee0pBESskxxvD1118THx/PggULyMwsOHrI/Pnzefnll30snQLeW1D/BywBOmLF4gNYiRXiyBu+BVqISDMsxTQAGOTR5nes9VSTROQSIBw44uX5lUrCtGkhPPlkNdLTi9Y44eGGF19MZ8QIDUmklIyTJ0/yySefEB8fz44dRTsmt2zZktjY2CoZqDUQ8FZBXQ30MMY4RcQAGGOSRKSmNwcbY7JFZCTwGZYLebwxZruIvAB8Z4xZBDwBfCQij2FZacOMLybIFL+RmgpbtwaRkwMiMHNmKNOm5X8QREUZnnoqnTvvzMqzlOrVM4SH+1hgpULz008/ER8fz+zZs0lOTi60XWhoKL179yY2NpZrr722QqdMr+h4q6AOARdgLdAFwHYF/93bC9lrmpZ6lI122d4BdPD2fErFxRiIiwtlzJjwfJlrPenXL5P//Cedhg31XUU5M/71r3/x5ZdfFlrftGlTYmJiiI6Opl69er4TTCkUbxXUOGCxiLwCBIvIQGAU8GrRhymKO8nJ8Nhj1Zg9u+ghk2rVDG++mcaAAZrJVikbYmJi8ikoh8PBbbfdRmxsLDfeeCMOh/cRSJTyx9tQR/Ei8hdwP1YsvqHAv4wxC8pRNqUSceoUrFsXzPPPh/Pzz0U7P5x/fg5TpqTSqpXGIFa8Jysri6VLl9KqVSsuuOCCfPXdu3fn7LPP5uDBg5x99tl5C2obNWrkB2kVb/DWiy/IGLMQWFjO8iiViJwcmDIllI8/DuH774PIzs4/nBcVZbjsMmu9ksMBnTpl88ADGdSoka+pohTI/v37mTx5MlOnTuXgwYOMGDGCcePG5WsXEhLC888/T7Vq1bjtttt0QW0FwNshvoMiMhuYboxZX54CKZWDzEy4//5qzJ9f+FDeJZdYllKLFmopKSXD6XTy+eefExcXx4oVK9xi4s2aNYsxY8YQFRWV77j+/fv7UkzlDPF2wLULkAzMFJE9IvKKiFxWjnIpFZi0NBgyJKJI5XT33ZmsWpWsykkpEUeOHOHNN9+kTZs23HXXXSxfvjxfwNZTp04xZ45m/6kMeDsHtRnYDPxDRDpjRX34QkQOGGNal6eASuCSkwM//BDEihXB7NgRRGSkFZD1+++D2LQp/1erRYscOnfOpmfPLDp1ytHFtYpXGGPYsGEDCQkJLFq0qNAFtQBRUVHcfffdtG/f3ocSKuVFaYLF/gzsxHIxrxpxUJQ8MjLg88+DWbAghFWrgjl2rHgjvHnzHD75JJULLlBrSfGepKQkZs2aRUJCAjt37iyybatWrRg+fDh33XUX1auXLMyVErh46yRRCytZ4SDgWqygrq8Bi8pNMiWg+OUXB2+/HcbixSFFRhH3pGXLHObNS+Hss3Udk1Iyli1bxj/+8Y9C68PCwujTpw+xsbG0a9dOF9RWQry1oP4ENgAzgL7GmBPlJpEScHz5ZRADBkQWG37Ik7Zts5kzJ5U6dVQ5KSXnjjvu4Nlnn+X48eNu5c2bN89bUFunjmZBrsx4q6DON8YcKFdJlIBk3bogBg4sXDnVquXkppuyueGGbBwOOHrUSr1+zjlOhg3LJCLCxwIrFYpffvmF3bt3071793x14eHhREdHM2HCBIKCgujRowexsbF06tRJF9RWEQpVUCLSyRizxt69xA7gmg9jzBflIpnidzZtCqJ//0jS0tyVU/36Tnr3zuKOO7K49toczUqrlIjMzEwWL15MfHw869ato06dOuzYsYPwAoIrxsbGUr16dYYOHUrDhg39IK3iT4p6tLwH5GbpiiukjQGal6lESkCQazmlpLgrpxdeSOPBBzNVKSklZt++fXkLao8cOZ2o4NixYyxcuLDANUrNmzfn6aef9qWYSgBR6GPGGHOpy3Yz34ij+BtjYOLEUJ59Njxf5Ifnn0/jkUc0vYXiPTk5OaxcuZKEhARWrFhBYQkKEhISdBGtkg9vvfgWGmN6F1A+zxhzZ9mLpfiaU6fg0CEH//1vGFOm5F9g+89/pvPoo6qcFO84dOgQU6dOZdKkSezfv7/Itu3btyc2NhZjjHriKW54O1BzYyHlN5SRHIofOH5cePTRanzxRXCRaS/+9a90nngiw4eSKRURYwzr1q0jPj6eTz/9lOzs7ELb1qhRg/79+xMTE0PLli19KKVSkShSQdkJBQFCXbZzaQ7sKxeplHInPd3B3XdH8O23hX8FoqIMH3yQyu23F/6gUZRcUlJSGDRoEKdOnSq0TevWrRk+fDh9+/YtMFaeorhSnAXVxP7rcNkGyznif8CYcpBJKWeys2HUqOZFKqfmzXOYPj2VSy7R6A+Kd+SGGYqLc/epCg8P584772T48OG0bdtWh/EUrylSQRljYgBEZIMx5iPfiKSUJ8bA449XY+1a93mm0FDD2Wcbzj7bSadO2YwcmUGtWv6RUQlcUlJSWLhwIXfddVeB6SpiYmLyFFSLFi2IiYlh0KBB1NIvk1IKvA0W+xGAiFQH6gHiUvdb+YimlAdjx+Z3gmjVKoelS5OpWdNPQikBz86dO4mPj2fWrFmcPHmS6tWr07Nnz3ztLr30Up588kk6depEx44d1VpSzghvvfguwQpzdDnW8J7YfwGKTo96+hzdgLft9hONMfnSxYvI3VjDhgbYaowZ5M25Fe/46qsgXnklzK2sSRMnc+akqHJS8pGZmcmcOXOIi4tj48aNbnXx8fEFKiiA5557zhfiKVUAb7343gdWY3nz7QGaAq9gxecrFhEJAt4FbgX2A9+KyCJjzA6XNi2AZ4EOxpjjItLA25tQiufoUeH++yMw5vQbbe3aTubOTaFhQ42Vp5xm7969TJo0icmTJ+eLg5fL6tWr+e2332jeXNfpK+WHtwrqcuBWY0yWiIgxJklEngK2AdO8OP5qYFfucKCIfAz0Bna4tLkXeNcYcxzAGHPY25tQisYYeOihahw8eDp+mYhh0qRULrxQnSAUyM7OZsWKFcTHx/P5558XuqAWoH79+gwZMoTIyEgfSqhURbxVUOlACJAFHBWRc4HjQF0vj2+E5fWXy37gGo82FwKIyHqsYcAxxpjlhZ0wMTHRy0uXrn1lIStL+PjjBnz2mfsY3rBhBznnnD+oot1SIFXxO3L06FEWLFjA/PnzOXy46HfCtm3b0rdvX2688UZCQkI4efIkJ0+e9JGkgUFV/I4Ux5n2SYsWhacV9FZBrQXuBiYBc4BlQAZQloFig7ESIN4ANAbWiMhlhaX2KOqmPElMTCxR+4rOrl0Oxo8P49tvg9izx0FOjvtE9VVXZXPffX9WqT4pjqr2HcnljTfeYObMmYXW16hRg4EDBxIbG8tFF13kQ8kCj6r6HSmK8u4Tb7347nbZHQVsB6KAKV5e5w/c11E1tstc2Q98bYzJAvaIyK9YCutbL6+hAAsXBvPQQxGFRoaoUcMwcWIqWVk676RY0cILUlBt27alR48e/O1vf9OhPMVvlDgmtTHGCUwt4WHfAi1EpBmWYhqAlZ3XlQXAQCBBROphDfmpC3shbNniYNSoahw4IFxxRQ4dO+bw228O3nknrMjj3ngjjaZNjQ7tVRGMMXz77beEh4fTunXrfPVXXXUVl156Kdu2baNatWr069eP4cOH06ZNGxITE1U5KX6lqHxQUzntSl4oxpihXrTJFpGRwGdY80vxxpjtdvik74wxi+y6LiKyA8gBnjLG/OXlfVQpZswI4bHHqpGRYVlJe/YEMW9e4e0bNXJy4YU5REdn0a9flo+kVPzJqVOnmD17NvHx8Wzbto3u3bszY8aMfO1EhKeeeoqDBw/Sv39/XVCrBBRFWVC7yvJCxpilwFKPstEu2wZ43P4oBZCVBaNGhfPRR0VbSQAhIYaXXkpn4MBMqlf3gXBKQLBt2zYSEhKYNWsWycnJeeXLly/njz/+oFGjRvmO6d07X6ICRQkIisoH9bwvBVGK5vhxYfDgCNavL35UtmFDJ5Mnp3L11Tk+kEzxN+np6SxcuJD4+Hi+/vrrAts4nU4mT57MqFGjfCydopQebyNJ3FRYnaZ8L3/27RPuuiuSX391D9oRHm4YMyadlBRh7dogfv01iKuvzua119I56yx1gqjs/PbbbyQkJDB9+nSOHTtWaDuHw0GXLl24/vrrfSidopw53jpJeKZ8rw+EYnne6VLycmTLFgf9+0dy6JDDrbxJEyfTpqVw+eXWQtsnnvCHdIqvyc7OZtmyZcTHx7N69eoi25511lkMGTKEe+65hyZNmhTZVlECEW/dzN1Svtuhi54DCk/8opQKpxNWrw5m9epg1q4N5scfHW7hiQDat89m2rRU6tZVK6mqsWHDBoYMGVJkm86dOxMbG0v37t0LjDiuKBWFEruZAxhjckTkJSwL6o2yFanqsnevcO+9RScR7NMnk/ffTyM83IeCKQFDx44dueCCC9i1y92HqVatWkRHRzNs2DBdTKpUGhzFNymUWwEN5FZGzJsXQqdO1YtUTo88kkFcnCqnys5ff/3FsmXLCqwTEYYNG5a3f9VVV/Hee++xc+dOXnrpJVVOSqXCWyeJ/+G+JioCCAceLA+hqhIpKfDMM9WYOjW00DatWuXw979ncNdduoapsmKM4euvvyY+Pp4FCxYAsGPHDurVq5evbXR0NL/99hv33HMPl19+uY8lVRTf4e0Q32CP/RTgV2NM1YoUWcZs3+4gNjaCX37Jn1LrlluyGDIkkw4dcqhXT+eaKisnT57kk08+IT4+nh07drjVTZ8+nUcffTTfMbVr1+aNN3RkXan8eOsk8VV5C1KVMAYSEkJ59tnwvGgQuYSGGl54IZ37789Ek5FWXrZu3UpCQgKzZ88mJSWlwDYJCQk8/PDDOBxnMhKvKBUXb4f4agKPAFdgBYnNwxjTpRzkqrQ4nfD3v1fLl3Yd4IILcoiLS81zHVcqF2lpacybN4+EhAS+++67Its2a9aMmJgYsrKyCAsrPnKIolRGvB3im40VQ28+kFZ+4lRucnKsxIEff5xfOQ0alMnrr6cRFVXAgUqFZteuXcTHxzNjxgxOnDhRaLugoCBuu+02YmNjueGGG9RyUqo83iqoa4F6xpjM8hSmMpOdDQ88UI3Zs92VU1SUYfz4NPr3VweIyojT6aRPnz7873//K7RNw4YNGTp0KEOHDi0wVp6iVFW8fUVbB1xcnoJUZoyB++/Pr5zOOcfJF18kq3KqxDgcDoYOLTjg/4033sjUqVP56aefePbZZ1U5KYoH3lpQw4ClIvI1cMi1whjzQlkLVdmYPTuEuXPdlVPjxk4+/TSFZs10vqmi43Q6+fzzz7n66qupWbNmvvohQ4bw2muvkZ2dTZ06dYiOjiYmJobmzTVKmKIUhbcK6iWsjLh7gRou5er/XAw5OTB2rPsk97nnOlm0KJmmTbX7KjJHjhxh+vTpJCQksG/fPsaOHcu9996br93ZZ5/NE088QbNmzbjjjjsI15XWiuIV3iqoAcCFxpgD5SlMZWTBghASE0+vcwoKMsybl6LKqYJijGHDhg0kJCSwcOFCsrJOD8/Gx8czYsQIpID1Ac8++6wvxVSUSoG3Cuo3QCdKSojTmd966t8/iwsu0GG9ikZSUhKzZs0iISGBnTt3Fthm586dbNq0ifbt2/tYOkWpnHiroKYCi0TkHfLPQWk+qEL49NNgfv75tPXkcBieeCLDjxIpJWXLli3Ex8czZ84cUlNTC20XFhZGnz59qFOnjg+lU5TKjbcK6iH778se5QbNB1UgTie8/rr7XEO/flmcf75aT4FOamoqc+fOJSEhgR9++KHItueffz4xMTFER0dTu3ZtH0moKFWDUuWDKg0i0g14G2vB70RjzKuFtOsLzAHaGWOKXm4fwCxdGsz27aetJxHDk0+q9VQRePPNNxk7dmyh9UFBQfTo0YPY2Fg6deqkC2oVpZzwyS/LTnD4LnAb0BIYKCItC2hXHXgU+NoXcpUXSUnwr3+5W0933pnFhReq9VQRiI6OLtDRoVGjRowaNYpt27YxZcoUjfagKOVMadNt5GGMOdeLU1wN7DLG/Gaf72OgN7DDo91/gNeAp7yRKxAxBh55JII9e9wjlKv1FFjs27ePY8eOccUVV+Sra9q0KbfccgsrV65ERLj55puJiYmha9euBAeXKsenoiiloLTpNhpiWTofe3l8I8A11st+4BrXBiLSFmhijFkiIsUqqMTERC8vXbr2peWTT+qzcKH7Ys1+/Q4THPw7PhLBa3zVJ4FCTk4OGzZsYO7cuWzYsIGWLVsyadKkvHrX/ujduzcNGzakT58+NG7cGIA9e/b4WmS/U9W+I8Wh/ZGfM+2TopJsljrdhoh8CSzHmlc6I0TEgZU6fpi3x5Qkc2hiYqJPMo3+8EMQb70V6VbWunUOEyaEER4eWJlOfdUngcChQ4eYNm0akyZNcouJt337dlJSUmjTpk2+/mjRogWDB3u+l1UtqtJ3xBu0P/JT3n1yJuMVGYC3zhN/YEWiyKWxXZZLdeBS4Et77P9sLLf2XhXFUSI5GWJiIsjKOj13Ub26YdKkVE3R7geMMaxdu5aEhAQ+/fRTsrOzC2yXkJDA22+f8TuWoijlgLdzUJ7x9iKA7sAyL6/zLdBCRJphKaYBwKDcSmNMEpCX29q2zp6sKMoJ4L//DWPfPvcJ8wkTUmneXB0jfMmJEyeYMWMGCQkJxQ49XH755bqoVlECGG8tqCYe+ylYQ3JTvTnYGJMtIiOBz7DczOONMdttxfedMWaRtwIHIgcOCBMmuEeMuPfeDHr3LvitXSlbjDH88MMPxMfHM2/ePNLSCk9ZFh4eTt++fYmNjaVt27YFeuspihIYeDsHFXOmFzLGLAWWepSNLqTtDWd6PV/y8svhpKaeftDVr+9k9Oh0P0pUtdi7dy8333xzkW1atGhBTEwMgwYNolatWr4RTFGUM6LIRRwi0kFEXiuk7lURubZ8xKo4bN/uYNq0ELeyZ57JoHp1PwlUBWnWrBkdOnTIVx4cHEyfPn1YtGgR33zzDQ8++KAqJ0WpQBS3ynAUsKaQui+Bf5apNBWQf/87HGNOW08XXpjD0KGaeLisycjI4IsvCg/7GBsbm7fduHFj/vWvf7F9+3YSEhLo1KmTDuUpSgWkuCG+Nliu5AWxCogvU2kqGPPmhbBqlbv19Pzz6YSEFHKAUmL27t3LpEmTmDZtGkePHuXrr7/moosuyteuZ8+e9OvXj379+nHrrbcSFBRUwNkURalIFKegagChQEGzziFY7uFVjpwcePXVMMaOdfcf79Ahm27d1DHiTMnOzuazzz4jISGBzz//HGNOBzFJSEjg1Vfzh3EMDQ1l4sSJvhRTUZRyprghvp+BLoXUdbHrqxTHjwv9+0fkU04ihhdfTEdHkkrPgQMHeP3117n88suJjo5m1apVbsoJYObMmUWmvVAUpfJQnAX1JvB/drDXBcYYpx314Q6s4K+Pl7N8AUV2NvTrF8H337t3W1CQYdy4dK64IsdPklVcnE4na9euJS4ujqVLlxa6oBagRo0aDBw4kPT0dCIiInwopaIo/qBIBWWMmSEiZwOTgTAROYq1oDYD+LcxZqYPZAwYFi0Kyaec6td3kpCQyvXXq3IqCceOHWP69OlMmjSJ3bt3F9m2bdu2xMTE0LdvX1VMilKFKHYdlDHmDRGZCLQH6gJ/ARuNMSfLW7hAwhiYMCHUrezKK7OZOjWVc84pMNC7UgSDBg1i06ZNhdZHRETQt29fhg8fTps2bXwnmKIoAYO3C3VPYkWBqLJs3BjEDz+4d9f776epciol0dHRBSqoiy++mNjYWO6++25ds6QoVRzNtuYlnqGMunbVBITFsW3bNg4ePFhg3Z133kmNGjUACAkJoV+/fixdupSNGzdy3333qXJSFOWMoplXGXbvdrBsmXtXjRypCQgLIj09nQULFhAfH88333zD448/zujR+SNaRUZG8thjjwEwePBg6tev72tRFUUJcFRBecF774W6RYu4/PIcdYrwYPfu3SQkJDB9+nSOHz+eVz516lSeeeYZQkND8x2Tq6AURVEKQhVUMRw7JsyY4f5wfeihDF3vhLWgdunSpcTHx/Pll18W2ObIkSMsXryYO++807fCKYpS4VEFVQxvvhlGWtppbdSokZM+fbL8KJH/+fPPP5k8eTJTpkzhwIEDRbbt3LkzDRo08JFkiqJUJlRBFcEPPwTx7rvu1tP992dUyVh7TqeT1atXEx8fz/Lly8nJKXyIs1atWkRHRxMTE8MFF1zgQykVRalMqIIqhMxMGDmyGk7naeupcWMnMTFVM1L5tGnTeOSRR4ps065dO2JjY7njjjuoVq2ajyRTFKWyom7mhfDGG2Hs2OEeEfutt9KqbJ6nXr16FRjFITIykmHDhrFmzRpWrlzJwIEDVTkpilImqIIqgB07HIwf777uacCATG65pXJHKj958iRbtmwpsK5WrVr07ds3b79ly5aMGzeOnTt38tZbb9G6dWsfSakoSlVBh/g8MAYefbQaWVmnh/YaNHDyyiuVN4X71q1bSUhIYPbs2dSuXZutW7cWmE9p+PDhZGRkEBsbyzXXXKNJABVFKVd8pqBEpBvwNhAETDTGvOpR/zgwAsgGjgCxxph9vpIvl5Urg/n2W/duGTs2jdq1K1dIo/T0dGbMmEF8fDzfffddXnlKSgorV66kW7du+Y5p06YNH374oS/FVBSlCuMTBWWn63gXuBXYD3wrIouMMTtcmm0GrjLGpIrIA8DrQH9fyJeLMfD66/lDGvXuXXmG9hITE0lISGDatGmcPFlwvN/4+PgCFZSiKAVjjCE5ORmns2qFPwsPDycpKcnr9g6Hg6ioKK9HX3xlQV0N7DLG/AYgIh8DvYE8BWWMWe3SfhMw2Eey5fHFF8F89517l4waVfGH9rKysliyZAnx8fGsWbOmyLYNGzbkyiuvxBijQ3iK4iXJycmEhYUVGDGlMhMWFkZ4eHjxDW0yMzNJTk6mupfeZr5SUI2A/7ns7weuKaL9cGBZUSdMTEwskQDFtTcGxoy52K2sY8cTRETsooSXChgOHjzI/PnzWbhwIX/99VeRba+55hr69u1Lx44dCQ4OZteuXT6SMnAo6XeqKqB94k5h/REeHk79+vVJT6/4L7QlpaT3fOLECbcg0i1atCi0bcA5SYjIYOAqoHNR7Yq6KU8SExOLbf/VV0H89FOUW9kLLwSX6DqBxKlTp+jYsWORX546derkLaht3ry5D6ULPLz5jlQ1tE/cKao/kpKSSmRJVBbS09NLfN81atSgSZMmXrX1lYL6A3CVqLFd5oaI3AL8E+hsjPFZuHBj4NVX3Tu5S5esCp3CvXr16vTo0YO5c+fmq7vmmmvo3r07999/f5X8USmKUjHw1Tqob4EWItJMREKBAcAi1wYicgXwf0AvY8xhH8kFwJo1QWzc6K6r//GPwE+nYYzh66+/xpiCPQxjY2PztqOiohg+fDjr1q3js88+o3v37qqcFKUKM336dJ566inAcoyaOXMmAL/++ivXX389HTt2ZM+ePcyePdtvMvpEQRljsoGRWFl5dwKfGGO2i8gLItLLbjYWiAJmi8gWEVlUyOnKWDZ44QX3B/XNN2dx1VWBaz2dOHGC//u//6N9+/Z07dq1UMeH6667jj59+vDmm2+yc+dOxo8fz6WXXupjaRVFCXRiY2MZOHAgAEuWLKF3796sXbuW/fv3M2fOHL/J5bM5KGPMUmCpR9lol+1bfCWLK4sWBfP99+7d8MwzgWk9bdmyhbi4OObOnUtqampeeUJCAp0755+yExESEhJ8KaKiKECtWjXL9HwnThTvyr1v3z4GDBjAxo0bAXjnnXdITk5m3bp1XHrppaxfv56cnBwmTJjAlVde6XbsK6+8QlRUFBdddBHvv/8+QUFBfPXVV6Snp+dZVAMHDuShhx4q0/sqjoBzkvAl2dnw4ovu1lOPHlm0axc41lNqaipz5swhISGBzZs3F9hm8eLFHDx4kLPPPtvH0imKUhFIS0tj3bp1rF+/npEjR+YpMU+6dOlCTEwMUVFRPPzww6xdu5YJEyYwa9YsH0tsUaUV1PTpISQmng7p43AYRo8ODDfRn3/+mYSEBGbOnFnoglqAoKAgunfvTlpamg+lUxSlIpEbR7NDhw6cOnWKEydO+FcgL6myCio1Nb/nXnR0Fhdd5L+V4JmZmSxevJi4uDjWr19fZNtGjRpxzz33MGTIEBo2bOgjCRVFCVSCg4PdIlm4LjHxXHRfURbhV1kF9eGHoRw4cNpHJDzc8Mwz/rWeRo4cySeffFJovYhw8803ExsbS5cuXQgOrrL/PkUJaLyZMyprGjRowJEjRzh27BiRkZF89tln3HzzzQDMnz+fTp06sXHjRmrUqEHNmt7NkVWvXp1Tp06Vp9hFUiWfcBkZ8O677jH37rsvk0aN/BsQ9q677ipQQdWtW5fBgwcTExND06ZNfS+YoigBT0hICP/4xz+46aabaNiwodui4rCwMDp27Eh2djYTJkzw+pytWrUiKCiIDh06MGjQIJ87SUhha2gCkaSkpFIJ67kC/JNPQrjvvtPJ92rUMGzdesonEcsPHTpERkYG5557br46p9PJFVdcwb59VhD36667jtjYWHr27ElYWFi+9meCRglwR/sjP9on7hQXScJbq8TX9OjRgxdffJErrriizM9dmkgSRfVVzZo13cYeq6QF9dFH7gEdBw7MLFflZIxh7dq1xMfHs3jxYu666y7ef//9fO0cDgcjR47k119/JTY2lksuuaTcZFIURQl0qpyC2rLFkS/f04gRmeVyrRMnTjBjxgwSEhLcgkzOnz+fl19+mdq1a+c75t577y0XWRRFqZosWbLE3yKUmiqnoD76yH2o7KabsmjRouw894wx/PDDD8TFxTFv3rwCg7XmJgv09XiuoihKRaJKKahjx4Q5c0LcysrKekpOTmbu3LnExcXx448/Ftn2wgsvpEGDBmVyXUVRlMpKlVJQU6eGkJFxeg6uSRMnXbueWbbcHTt2kJCQwKxZs4pcUBsSEkLPnj2JjY2lQ4cOFWYdgqIoir+oMgoqJwcmTnQf3hsxIoOgoEIO8IKvvvqK3r17F9mmSZMmDBs2jCFDhqjVpCiKUgJ8lW7D7+TkwKOPZnDRRVacvfBww5AhWWd0zuuuu67A+HciQteuXZk1axZbtmzhiSeeUOWkKEqF4rLLLis2E3d5U2UUVGioNd+0aVMyCxcm8+KL6dSpU7xreXZ2Ntu2bSuwLiQkhKFDh+bt169fnyeeeIKtW7cya9YsunbtStCZmGiKoiilwBjjFvaoolJlhvhyEYHOnXPo3LnoiOUHDhxgypQpTJkyhZMnT7Jz506ioqLytbvnnnvYtGkTw4YN4/bbbyc0NLSAsymKUpWoVatWqY67/PLL+eqrr0p17L59++jbty9XXnklW7dupW3btuzYsYP09HR69erFqFGjAMsyGjhwIMuXLyc7O5tJkyZx4YUXcuzYMYYPH86BAwdo166dWyLUCRMmMH36dACGDBnCgw8+mHe9du3a8c0339C2bVuio6N55ZVXOHLkCB999FG+tB4lpcopqKJwOp2sWbOGuLg4li5dSk7OaSU2Z84chg0blu+YRo0asWiRT3IrKoqiFMnu3bt5//33adeuHcePH6d27drk5OTQq1cvtm3blpewtG7duqxZs4aJEyfyzjvv8M477/Dqq69y7bXX8vTTT/PZZ58xdepUwMpDN2PGDFatWoUxhltuuYUOHTpQq1Yt9uzZw+TJk7nkkku48cYbmT17NsuXL2fp0qWMHz+eGTNmnNH9VJkhvqI4duwY77zzDu3ateOOO+7g008/dVNOAHFxcYWmVlcURQkEmjRpQrt27YDTAWI7duzIzz//zC+//JLXrmfPngC0adOG33//HYANGzbQv39/ALp27ZpnBW7cuJEePXoQGRlJVFQUt99+e14+qXPPPZdWrVrhcDi4+OKL6dy5MyJCq1at8s57JlRZC8oYw7fffktcXBwLFiwgI6PwLLoRERFcccUVpKenU61aNR9KqSiK4j2RkZEA7N27l3feeYfVq1dTq1YtHnjgAbegAbmxPYOCgsjOLv1SG9cpDYfDkXdeEcn3kl8aqpyCOnXqFLNnzyY+Pr5Q54dcLr74YmJjY+nfv3/ABoJUFCXw8HdCwFOnThEREUGNGjU4fPgwq1at4vrrry/ymOuuu47Zs2fz1FNPsXLlyrx7aN++PQ8++CCPPfYYxhiWLFnCBx984IO78KGCEpFuwNtAEDDRGPOqR30YMAW4EvgL6G+M2VuWMjidTjp06FCk6RkSEkLv3r2JjY2lffv2uqBWUZQKx2WXXUbr1q1p164djRo14pprrin2mGeeeYbhw4dz7bXXcvXVV9O4cWPAGgYcNGhQXm6pIUOGcPnll+dlXShPfJJuQ0SCgF+BW4H9wLfAQGPMDpc2DwKtjTF/E5EBQB9jTH/X85RFuo3nnnuuwHwo5513HjExMURHR1O/fv3SXKZCoakU3NH+yI/2iTsVNd1GeVLe6TZ85SRxNbDLGPObMSYT+BjwDMHQG5hsb88BbpZyMF9iYmLyth0OB926dWP27Nls3ryZv//971VCOSmKolQEfDXE1wj4n8v+fsDT5sxrY4zJFpEkoC5wtCwFOf/88+nfvz/nnnsuQ4cOpUmTJmV5ekVRFKWM8NUQXz+gmzFmhL0/BLjGGDPSpc02u81+e3+33SZPQbkO8bnmV1IURfEn4eHhOvriJUeOHHHzKHQdNvVXRt0/AFdTpbFdVlCb/SISDNTEcpYokJKMjetYen60T9zR/siP9ok7RfXHqVOncDgcVS6STEnnoDIzM6lVqxbVq1f3qr2vFNS3QAsRaYaliAYAgzzaLALuATYC/YAvjK6MVRSlAhAVFUVycjJpaWn+FsWnnDx5kho1anjd3uFwFBgyrjB8oqDsOaWRwGdYbubxxpjtIvIC8J0xZhEQB0wVkV3AMSwlpiiKEvCIiNdWQWXi8OHD5TqP77N1UMaYpcBSj7LRLtvpwF2+kkdRFEUJbDQWn6IoihKQ+MSLr6wo7UJdRVEUJfDx10JdRVEURSkRqqAURVGUgKRCDfEpiqIoVQe1oBRFUZSARBWUoiiKEpBUegUlIt1E5BcR2SUiz/hbnvJCROJF5LAd0zC3rI6IrBSRRPtvbbtcROS/dp/8KCJtXY65x26fKCL3+ONeygIRaSIiq0Vkh4hsF5FH7fKq3CfhIvKNiGy1++R5u7yZiHxt3/ssEQm1y8Ps/V12fVOXcz1rl/8iIl39dEtlgogEichmEVls71f1/tgrIj+JyBYR+c4u88/vxhhTaT9YUSt2A82BUGAr0NLfcpXTvXYC2gLbXMpeB56xt58BXrO3uwPLAAGuBb62y+sAv9l/a9vbtf19b6Xsj4ZAW3u7OlY+spZVvE8EiLK3Q4Cv7Xv9BBhgl38APGBvPwh8YG8PAGbZ2y3t31IY0Mz+jQX5+/7OoF8eB2YAi+39qt4fe4F6HmV++d1UdgvKmzxUlQJjzBqsEFGuuObYmgzc4VI+xVhsAmqJSEOgK7DSGHPMGHMcWAl0K3fhywFjzAFjzA/29ilgJ1ZKl6rcJ8YYk2zvhtgfA9yElYMN8vdJQTnaegMfG2MyjDF7gF1Yv7UKh4g0BnoAE+19oQr3RxH45XdT2RVUQXmoGvlJFn9wljHmgL19EDjL3i6sXyplf9lDMVdgWQxVuk/s4awtwGGsh8Zu4IQxJttu4np/bjnagNwcbZWpT94C/gE47f26VO3+AOulZYWIfC8i99llfvnd+CwWn+JfjDFGRKrcmgIRiQLmAn83xpwUlyTNVbFPjDE5QBsRqQXMBy72r0T+Q0RuBw4bY74XkRv8LE4gcb0x5g8RaQCsFJGfXSt9+bup7BaUN3moKjOHbHMb++9hu7ywfqlU/SUiIVjKaboxZp5dXKX7JBdjzAlgNdAea1gm92XV9f7y7l3cc7RVlj7pAPQSkb1Yw/83AW9TdfsDAGPMH/bfw1gvMVfjp99NZVdQeXmobE+cAVh5p6oKuTm2sP8udCkfanvgXAsk2eb7Z0AXEalte+l0scsqHPbcQByw0xjzhktVVe6T+rblhIhUA27FmptbjZWDDfL3SW5fueZoWwQMsL3amgEtgG98chNliDHmWWNMY2NMU6xnwxfGmGiqaH8AiEikiFTP3cb6vm/DX78bf3uMlPcHy8vkV6yx9n/6W55yvM+ZwAEgC2u8dzjW+PjnQCKwCqhjtxXgXbtPfgKucjlPLNYk7y4gxt/3dQb9cT3WWPqPwBb7072K90lrYLPdJ9uA0XZ5c6wH6i5gNhBml4fb+7vs+uYu5/qn3Ve/ALf5+97KoG9u4LQXX5XtD/vet9qf7bnPTH/9bjTUkaIoihKQVPYhPkVRFKWCogpKURRFCUhUQSmKoigBiSooRVEUJSBRBaUoiqIEJKqgFKWUiMgkEXnR33IEMiLypYiM8LccSsVEFZRSabDTBBy2Fxjmlo0QkS/9KFapECsdRrL9yRGRdJf9UT6SoamIGJeoCoriU1RBKZWNIOBRfwtRUkQkyHXfGNPKGBNljIkC1gIjc/eNMS97eU5VLEqFRhWUUtkYCzyZG9LHlYIsAtchKBEZJiLrReRNETkhIr+JyHV2+f9s68wz8Vo9O4HbKRH5SkTOczn3xXbdMbES2d3tUjdJRN4XkaUikgLc6M3Nicj5IvKFiPwlIkdFZLrrvdpW5NMi8iOQIiLBIjJURPbZx/zLbnOL3d4hIs+IyG67/hMRqWOfbo3994RtubW3j4kVkZ0iclxEPvO451tF5GcRSRKRCViRBhSlVKiCUiob3wFfAk+W8vhrsEIB1cVKYvcx0A64ABgMTBArQnou0cB/gHpY4ZSmQ14cs5X2ORpgxXp7T0Rauhw7CHgJK6HiOi/lE+AV4BzgEqyAnGM82gzEynFUC7gQeM+WsyFWgFPXtAcPY+X26Wyf8zhW6BqwkmAC1LItt40i0hsYBdwJ1Mey7mba91wPmAc8Z/fHbqyArIpSKlRBKZWR0cDDIlK/FMfuMcYkGCstxSwsBfCCsZLRrQAysZRVLkuMMWuMMRlY8djai0gT4HZgr32ubGPMZqzI6ne5HLvQGLPeGOM0xqR7I5wxZpcxZqUtzxHgDSzl4sp/jTH/M8akYQU1/dQYs85YSTtHY8UozOVvWPHW9tv3MAboV8Tw4N+AV4wxO42VE+llrPQd52HFOtxujJljjMnCyrV00Jv7UpSC0DFqpdJhjNkmIouxUlPvLOHhh1y20+zzeZa5WlB5SdmMMckicgzLEjkPuEZETri0DQamFnSst4jIWVgpITpiWV4OLKvHFdfznuMhY6qI/OVSfx4wX0ScLmU5nE5I58l5wNsiMt5VLCyrzPNaRkRKfI+KkotaUEpl5d/AvbgPZ6XYfyNcys4+w+vk5byxh/7qAH9iPai/MsbUcvlEGWMecDm2NJGaX7aPu8wYUwNr2NFznsf1vAewcvHkylgNa/gyl/9hRd92lTPcWDmBCpLvf8D9Hu2rGWM22Ndy7Q/BPSeQopQIVVBKpcQYswtriO4Rl7IjWEnTBouV+jwWOP8ML9VdRK4XK9/Yf4BNxpj/AYuBC0VkiIiE2J92InLJGV6vOpAMJIlII+CpYtrPAXrazh6hWEN4rgrtA+ClXEcHsXJG9bbrjmClQm/u0f5ZEWllt68pIrnDlkuAViJypz1E+Ahn/gKgVGFUQSmVmReASI+ye7Ee6n8BrYANZ3iNGVjW2jHgSiyLBmPMKawkbQOwLKqDwGtA2Ble73mgLZCEpRDmFdXYGLMdyxHiYywLJxkrG2qG3eRtrKRzK0TkFLAJy1EEY0wqlhPHetur8VpjzHz7Pj4WkZNYeaVus9sfxZpjexWrf1sA68/wfpUqjOaDUpQqhD0MeQJoYYzZ42dxFKVI1IJSlEqOiPQUkQjb9X0cVubTvf6VSlGKRxWUolR+emMNM/6JNew2wOjQiVIB0CE+RVEUJSBRC0pRFEUJSFRBKYqiKAGJKihFURQlIFEFpSiKogQkqqAURVGUgOT/AQR/EOlntPeLAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "perf_h2o.plot_uplift(metric=\"gain\", normalize=True)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3rc1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
